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Pagliara, S.

Publications and source records attributed to Pagliara, S..

At least 19 recordsLinked to original sources

Cellular heterogeneity in the response of Burkholderia thailandensis to antibiotics and phages in synthetic spatial refuges

Understanding the complex interactions between phage, antibiotics and bacteria is vital for the development of rationale phage-antibiotic therapies. These interactions have traditionally been investigated via bulk assays, thus masking eventual cellular heterogeneities and the impact of spatial refuges on phage and antibiotic efficacy. Using microfluidics-based time-lapse microscopy, we reveal large phenotypic heterogeneity in the response of Burkholderia thailandensis to both the bacteriophage {Phi}Bp-AMP1 and sub-inhibitory concentrations of two selected antibiotics ciprofloxacin and trimethoprim. We discover that simultaneous exposure to ciprofloxacin and phage decreases the size of individual B. thailandensis cells, whereas phage and trimethoprim together slow down cell doubling. Exposure to ciprofloxacin also causes extended phage lysis of B. thailandensis which is preceded by a distinguishable pause in cell elongation, whereas exposure to trimethoprim constrains lysis. As a consequence, exposure to ciprofloxacin further hinders the growth of B. thailandensis in the presence of phage, whereas exposure to trimethoprim enhances growth in the presence of phage. These findings help understand the effects of the interactions between antibiotics and phage on bacterial subpopulations in spatial refuges that are notoriously difficult to treat with antibiotics.

microbiology↗

Loss of restriction-modification methyltransferases drives persistence to fluoroquinolones in Pseudomonas aeruginosa

The resurgence of phage therapy has renewed interest in the interplay between phage resistance and antibiotic susceptibility and has stimulated research in the emergent field of non-canonical cellular functions carried out by defence systems. Yet it remains largely unknown whether intracellular antiphage defence systems influence bacterial physiology, resistance or persistence to antibiotics. Here we discovered that besides its canonical antiphage defence function, the type I restriction modification (RM) system profoundly affects the physiology of the opportunistic pathogen Pseudomonas aeruginosa. Deletion of the type I RM methyltransferase HsdM reduces the size of the bacterial nucleoid and delays DNA replication initiation and exit from lag phase in P. aeruginosa PAO1. Crucially, P. aeruginosa strains isolated from patients with cystic fibrosis (CF) and lacking the RM type I system also display slower growth compared to strains isolated from other sites of infections and encoding this system. Deletion of HsdM selectively increases the levels of persisters that survive treatment with fluoroquinolones by displaying enhanced SOS response but without acquiring resistance. Importantly, we measured elevated persistence to fluoroquinolones also in P. aeruginosa CF isolates lacking the type I RM system, providing a functional link between RM systems, slow growth and persistence to fluoroquinolones. Together these findings open a new way of approaching bacterial susceptibility to antibiotics, bringing antiphage defence systems in a forward-facing position in this field.

microbiology↗

A novel agar-based millifluidic device for spatially-structured microbial populations

The role of spatial structure in microbial ecology and evolution is increasingly recognised and investigated, often with agar plates as a template for a spatially structured environment. While convenient, agar plates do not allow for the spatial and temporal control microbiologists have become accustomed to in the field of microfluidics with its tight environmental control for single cells and small populations, holding back research on surfaces and at larger length scales and population sizes. To close this gap, we developed a novel device with an agar sheet sealing indented channels through which media perfuses. As proof of principle, we grew populations of non-motile Escherichia coli and motile Pseudomonas aeruginosa for 60 hours with continuous propagation of the colonys front, in contrast to agar plates where growth declined much earlier and stopped after about 40 hours. To demonstrate the capabilities of spatial control, we grew P. aeruginosa along different temporally-stable gradients of the cephalosporin antibiotic ceftazidime and characterised the emerging bacterial growth patterns. The device is a step towards highly controlled studies of microbial populations in continuous, non-uniform spatially structured environments. Designed with cost and accessibility in mind, we believe that this novel device will enable new insights into microbial ecology and evolution.

microbiology↗

Prophage and metabolic determinants of Staphylococcus aureus survival to vancomycin identified via TraDIS screening

Reduced vancomycin susceptibility phenotypes in Staphylococcus aureus contribute to treatment failure, yet the genetic determinants of survival under inhibitory vancomycin exposure remain incompletely defined. We performed transposon directed insertion-site sequencing (TraDIS) on a methicillin resistant S. aureus (MRSA) ST398 mutant library following exposure to vancomycin at its minimum inhibitory concentration, identifying 52 genes whose disruption was associated with loss of population survival at inhibitory drug concentrations. Prophage associated loci were the largest functional group, spanning predicted structural and regulatory genes as well as multiple conserved hypothetical proteins. Targeted testing of defined transposon mutants in a USA300 background confirmed that disruption of selected loci impaired growth under vancomycin exposure. Our results highlight the contribution of diverse physiological processes, including metabolism, stress responses, and a prominent role for prophage-associated functions, rather than discrete resistance pathways. Together, these findings indicate that vancomycin tolerance is shaped by the general physiological state of the bacterial cell, including metabolic capacity and stress adaptation. ImportanceTreatment failure in Staphylococcus aureus infections often occurs in the absence of known antibiotic resistance determinants, suggesting that additional survival mechanisms influence therapeutic outcomes. In this study, we identify genetic determinants required for survival during inhibitory vancomycin exposure, revealing a broad role for metabolic functions, stress adaptation, and prophage-associated loci. The prominence of these diverse processes highlights that survival reflects global physiological adaptation rather than discrete resistance pathways. This insight underscores the need to consider cellular physiology and stress responses when developing strategies to prevent antibiotic tolerance and improve treatment efficacy.

microbiology↗

Parallelised detection of bacteria viability using an electrode array and the Exeter Multiscope

Antimicrobial resistance remains a global existential threat. Given that antimicrobial therapy commonly starts before pathogen identification, rapid and scalable methods capable of determining effective antimicrobial compounds are needed. In this paper, we demonstrate a 2 x 2 array of parallelised microscopes that uses low numerical aperture (NA=0.25) detection optics and LED excitation to determine bacterial viability based on their fluorescence response to an electrical stimulus. Following a 2-hour incubation, the fluorescent viability readout requires less than one minute. We use K-means clustering to classify pixels in a time lapse sequence of widefield fluorescence images and extract changes seen within bacterial clusters. We demonstrate sufficient sensitivity to measure fluorescence changes after electrical stimulation in a bacterial monolayer. To capture these subtle fluorescence changes at high signal-to-background ratios, we place a limit on the minimum optical density of the bacterial sample. This novel approach is scalable to 96-well formats using a suitable consumable electrode array.

microbiology↗

Yersinia pseudotuberculosis employs a multifaceted strategy to survive antimicrobials

Microbes have evolved a variety of strategies to survive exposure to naturally occurring and synthetic antimicrobials. These strategies have been investigated extensively in model bacterial organisms, whereas less is known about under explored pathogenic bacteria such as bacteria within the Yersinia genus. In this study we investigated the inhibitory effect and bactericidal activity of antibiotics from five different classes and of the disinfectant hydrogen peroxide against Yersinia pseudotuberculosis, the ancestral species from which Yersinia pestis and Yersinia enterocolitica have emerged. We found that Y. pseudotuberculosis is able to survive exposure to clinical antibiotics and disinfectants by employing a variety of strategies, with persisters and the Eagle effect playing a role in survival to quinolones, tolerance playing a role in survival to ceftriaxone and overexpression of catalases and peroxidases playing a role in survival to hydrogen peroxide. Our findings suggest that future research should focus on informing new, effective ways to treat infections caused by Yersinia species. IMPORTANCEAntimicrobial resistance is routinely investigated by measuring the minimum inhibitory concentration of antimicrobials needed to stop microbial growth. Here we show that the bacterial pathogen Yersinia pseudotuberculosis is not killed when antibiotics and disinfectants are used at these concentrations and that, in some cases, increasing antibiotic concentrations decreases their activity against this bacterium, therefore posing a potential risk to human and animal health.

microbiology↗

A mechanistically-inspired geometric model to predict microbial growth across environments

Estimating bacterial growth trajectories is essential for bridging mechanistic insights and experimental data. Nevertheless, widely used empirical models tend to be overly simplistic or purely phenomenological. Mechanistic models offer greater detail but still fall short of representing the full spectrum of biochemical processes underlying cellular growth. Here we take a mean-field approach whereby we consider the bacterial cell population as a cascading sequence of biochemical processes. This approach enables the derivation of a geometry-based model of cellular population growth that captures the lag, exponential, and stationary phases observed experimentally, without requiring assumptions about specific cellular mechanisms. Furthermore, parameters estimated from multiple datasets can provide insights into the populations history of cellular stress. We demonstrate the robustness and accuracy of the proposed modelling framework by applying it to existing experimental data for S. aureus and P. aeruginosa grown in closed and open environments. We show that our approach achieves higher accuracy compared to contemporary models.

biophysics↗

Competition with Pseudomonas aeruginosa induces Staphylococcus aureus in an antibiotic-tolerant viable but non culturable state

Interactions between different species of pathogenic microbes often affect clinical outcome by altering the virulence or antibiotic resistance of individual microbes. By investigating the interactions between Staphylococcus aureus and Pseudomonas aeruginosa at the population, single-cell and molecular level we discovered that a sub-population of S. aureus enters in a viable non-culturable state that it is not detected via standard microbiology assays. In the presence of P. aeruginosa, S. aureus adopts a survival lifestyle similar to previously described intracellular S. aureus persisters, downregulating nitrogen metabolism and amino acid biosynthesis, while upregulating protein maturation processes. Entrance in a viable but non culturable state is the primary survival strategy of S. aureus in response to vancomycin treatment, whereas only a minority of the S. aureus population survive ciprofloxacin treatment while in a viable but non culturable state. These bacterial interactions may shape the evolution of resistance traits of co-infecting pathogens. Manipulating these interspecies adaptations could provide new opportunities for early therapeutic interventions.

microbiology↗

Antibiotic resistant bacteria survive treatment by doubling while shrinking

Many antibiotics that are used in healthcare, farming and aquaculture end up in environments with different spatial structures that might promote heterogeneity in the emergence of antibiotic resistance. However, experimental evolution of microbes at sub-inhibitory concentrations of antibiotics has been mainly carried out at the population level which does not allow capturing heterogeneity within bacterial populations. Here we investigate and compare the emergence of resistance to ciprofloxacin in Escherichia coli in well mixed and structured environments using experimental evolution, genomics and microfluidics-based time-lapse microscopy. We discover that resistance to ciprofloxacin and cross-resistance to other antibiotics is stronger in the well-mixed environment due to the emergence of target mutations, whereas efflux regulator mutations emerge in the structured environment. The latter mutants also harbour sub-populations of persisters that survive high concentrations of ciprofloxacin that inhibit bacterial growth at the population level. In contrast, genetically resistant bacteria that display target mutations also survive high concentrations of ciprofloxacin that inhibit their growth via population-level antibiotic tolerance. These resistant and tolerant bacteria keep doubling while shrinking in size in the presence of ciprofloxacin and regain their original size after antibiotic removal, which constitutes a newly discovered phenotypic response. This new knowledge sheds light on the diversity of strategies employed by bacteria to survive antibiotics and poses a stepping stone for understanding the link between mutations at the population level and phenotypic single-cell responses.

microbiology↗

Membrane permeability selection drove the stereochemistry of life

Early in the evolution of life a proto-metabolic network was encapsulated within a membrane compartment. The permeability characteristics of the membrane determined several key functions of this network by determining which compounds could enter the compartment and which compounds could not. One key feature of known life is the utilisation of right-handed D- ribose and deoxyribose sugars and left-handed L- amino acid stereochemical isomers (enantiomers), however, it is not clear why life adopted this specific chirality. We previously demonstrated that an archaeal and an intermediate membrane mimic, bearing a mixture of bacterial and archaeal lipid characteristics (a hybrid membrane), display increased permeability compared to bacterial-like membranes. Here, we investigate if these membranes can drive stereochemical selection on pentose sugars, hexose sugars and amino acids. Using permeability assays of homogenous unilamellar vesicles, we demonstrate that both membranes select for D- ribose and deoxyribose sugars while the hybrid membrane uniquely selects for a reduced alphabet of L- facing amino acids. This repertoire includes alanine, the plausible first L- amino acid utilised. We conclude such compartments could provide stereochemical compound selection thereby demonstrating a solution to the chirality problem during the evolution of life.

evolutionary biology↗

Heterogeneous efflux pump expression underpins phenotypic resistance to antimicrobial peptides

Antimicrobial resistance threatens the viability of modern medical interventions. There is a dire need of developing novel approaches to counter resistance mechanisms employed by starved or slow-growing pathogens that are refractory to conventional antimicrobial therapies. Antimicrobial peptides have been advocated as potential therapeutic solutions due to low levels of genetic resistance observed in bacteria against these compounds. However, here we show that subpopulations of stationary phase Escherichia coli and Pseudomonas aeruginosa survive tachyplesin treatment without genetic mutations. These phenotypic variants display enhanced efflux activity to limit intracellular peptide accumulation. Differential regulation of genes involved in outer membrane vesicle section, membrane modification, and protease activity were also found between phenotypically resistant and susceptible cells. We discovered that formation of these phenotypic variants could be prevented by administering tachyplesin in combination with sertraline, a clinically used antidepressant, suggesting a novel approach for combatting antimicrobial-refractory stationary phase bacteria.

microbiology↗

Phage-induced efflux down-regulation boosts antibiotic efficacy

The interactions between a virus and its host vary in space and time and are affected by the presence of molecules that alter the physiology of either the host or the virus. Determining the molecular mechanisms underpinning these interactions is paramount for predicting the fate of bacterial and phage populations and for designing rational phage-antibiotic therapies. We study the interactions between stationary phase Burkholderia thailandensis and the phage {Phi}Bp-AMP1. Although heterogeneous genetic resistance to phage rapidly emerges in B. thailandensis, the presence of phage enhances the efficacy of three major antibiotic classes, the quinolones, the beta-lactams and the tetracyclines, but antagonizes tetrahydrofolate synthesis inhibitors. We discovered that enhanced antibiotic efficacy is underpinned by reduced antibiotic efflux in the presence of phage. This new phage-antibiotic therapy allows for eradication of stationary phase bacteria, whilst requiring reduced antibiotic concentrations, which is crucial for treating infections in sites where it is difficult to achieve high antibiotic concentrations.

microbiology↗

Fast bacterial growth reduces antibiotic accumulation and efficacy

Phenotypic variations between individual microbial cells play a key role in the resistance of microbial pathogens to pharmacotherapies. Nevertheless, little is known about cell individuality in antibiotic accumulation. Here we hypothesize that phenotypic diversification can be driven by fundamental cell-to-cell differences in drug transport rates. To test this hypothesis, we employed microfluidics-based single-cell microscopy, libraries of fluorescent antibiotic probes and mathematical modelling. This approach allowed us to rapidly identify phenotypic variants that avoid antibiotic accumulation within populations of Escherichia coli, Pseudomonas aeruginosa, Burkholderia cenocepacia and Staphylococcus aureus. Crucially, we found that fast growing phenotypic variants avoid macrolide accumulation and survive treatment without genetic mutations. These findings are in contrast with the current consensus that cellular dormancy and slow metabolism underlie bacterial survival to antibiotics. Our results also show that fast growing variants display significantly higher expression of ribosomal promoters before drug treatment compared to slow growing variants. Drug-free active ribosomes facilitate essential cellular processes in these fast growing variants, including efflux that can reduce macrolide accumulation. Using this new knowledge, we phenotypically engineered bacterial populations by eradicating variants that displayed low antibiotic accumulation through the chemical manipulation of their outer membrane inspiring new avenues to overcome current antibiotic treatment failures.

microbiology↗

Membrane permeability differentiation at the lipid divide

One of the deepest branches in the tree of life separates the Archaea from the Bacteria. These prokaryotic groups have distinct cellular systems including fundamentally different phospholipid membrane bilayers. This dichotomy has been termed the lipid divide and possibly bestows different biophysical and biochemical characteristics on each cell type. Classic experiments suggest that bacterial membranes (formed from lipids extracted from Escherichia coli for example) show permeability to key metabolites comparable to archaeal membranes (formed from lipids extracted from Halobacterium salinarum), yet systematic analyses based on direct measurements of membrane permeability are absent. Here we develop a new approach for assessing the membrane permeability of ~10 m unilamellar vesicles, consisting of an aqueous medium enclosed by a single lipid bilayer. Comparing the permeability of eighteen metabolites demonstrates that diether glycerol-1-phosphate lipids with methyl branches, often the most abundant membrane lipids of known archaea, are permeable to a wide range of compounds useful for core metabolic networks, including amino acids, sugars, and nucleobases. Permeability is significantly lower in diester glycerol-3-phosphate lipids without methyl branches, the common building block of bacterial membranes. To identify the membrane characteristics that determine permeability we use this experimental platform to test a variety of lipid forms bearing a diversity of intermediate characteristics. We found that increased membrane permeability is dependent on both the methyl branches present on the archaeal phospholipid tails and the ether bond between the tails and the head group. These permeability differences must have had profound effects on the cell physiology and proteome evolution of early prokaryotic forms. To explore this further, we compare the abundance and distribution of transmembrane transporter-encoding protein families present on genomes sampled from across the prokaryotic tree of life. Archaea have a reduced repertoire of transporter gene families, consistent with increased membrane permeation. These results demonstrate that the lipid divide demarcates a clear difference in permeability function with implications for understanding some of the earliest transitions in cell evolution.

evolutionary biology↗

An ultrasensitive microfluidic approach reveals correlations between the physico-chemical and biological activity of experimental peptide antibiotics

Antimicrobial resistance challenges the ability of modern medicine to contain infections. Given the dire need for new antimicrobials, peptide antibiotics hold particular promise. These agents hit multiple targets in bacteria starting with their most exposed regions - their membranes. However, suitable assays to quantify the efficacy of peptide antibiotics at the membrane and cellular level have been lacking. Here, we employ two complementary microfluidic platforms to probe the structure-activity relationships of two experimental series of peptide antibiotics. We reveal strong correlations between each peptides physicochemical activity at the membrane level and biological activity at the cellular level by assaying the membranolytic activities of the antibiotics on hundreds of individual giant lipid vesicles, and quantifying phenotypic responses within clonal bacterial populations with single-cell resolution. Our strategy proved capable of detecting differential responses for peptides with single amino acid substitutions between them, and can accelerate the rational design and development of peptide antimicrobials.

microbiology↗

CryoEM structure of the outer membrane secretin channel pIV from the f1 filamentous bacteriophage

The Ff family of filamentous bacteriophages infect gram-negative bacteria, but do not cause lysis of their host cell. Instead, new virions are extruded via the phage-encoded pIV protein, which has homology with bacterial secretins. Here, we determine the structure of pIV from the f1 filamentous bacteriophage at 2.7 [A] resolution by cryo-electron microscopy, the first near-atomic structure of a phage secretin. Fifteen f1 pIV subunits assemble to form a gated channel in the bacterial outer membrane, with associated soluble domains projecting into the periplasm. We model channel opening and propose a mechanism for phage egress. By single-cell microfluidics experiments, we demonstrate the potential for secretins such as pIV to be used as adjuvants to increase the uptake and efficacy of antibiotics in bacteria. Finally, we compare the f1 pIV structure to its homologues to reveal similarities and differences between phage and bacterial secretins.

biophysics↗

Bacteriostatic antibiotics promote the evolution of CRISPR-Cas immunity

Phage therapy can be used in combination with antibiotics to combat infections with bacterial pathogens1-3. However, bacteria can rapidly evolve phage resistance via receptor mutation, or using their CRISPR-Cas adaptive immune systems4, which insert short phage-derived sequences into CRISPR loci in the bacterial genome5 to guide sequence-specific cleavage of cognate sequences6. Unlike CRISPR-Cas immunity, mutation of the phage receptor leads to attenuated virulence when the opportunistic pathogen Pseudomonas aeruginosa is infected with its phage DMS3vir7, which underscores the need to predict how phage resistance evolves under clinically relevant conditions. Here, using eight antibiotics with various modes of action, we show that bacteriostatic antibiotics (which inhibit cell growth without killing) specifically promote evolution of CRISPR-Cas immunity in P. aeruginosa by slowing down phage development and providing more time for cells to acquire phage-derived sequences and mount an immune response. Our data show that some antimicrobial treatments can contribute to the evolution of phage-resistant pathogens with high virulence.

microbiology↗

Single cell label-free probing of chromatin dynamics during B lymphocyte maturation

Large-scale intracellular signalling during developmental growth or in response to environmental alterations are largely orchestrated by chromatin within the cell nuclei. Chemical and conformational modifications of the chromatin architecture are critical steps in the regulation of differential gene expression and ultimately cell fate determination. Therefore, establishing chemical properties of the nucleus could provide key markers for phenotypic characterisation of cellular processes on a scale of individual cells. Raman microscopy is a sensitive technique that is capable of probing single cell chemical composition - and sub-cellular regions - in a label-free optical manner. As such, it has great potential in both clinical and basic research. However, perceived limitations of Raman spectroscopy such as low signal intensity and the difficulty in linking alterations in vibrational signals directly with ensuing biological effects have hampered advances in the field. Here we use immune B lymphocyte development as a model to assess chromatin and transcriptional changes using confocal Raman microscopy in combination with microfluidic devices and correlative transcriptomics, thereby linking changes in chemical and structural properties to biological outcomes. Live B lymphocytes were assessed before and after maturation. Multivariate analysis was applied to distinguish cellular components within each cell. The spectral differences between non-activated and activated B lymphocytes were then identified, and their correlation with known intracellular biological changes were assessed in comparison to conventional RNA-seq analysis. Our data shows that spectral analysis provides a powerful tool to study gene activation that can complement conventional molecular biology techniques and opens the way for mapping the dynamics in the biochemical makeup of individual cells.

biophysics↗