Biology subjects

Glaser, P.

Publications and source records attributed to Glaser, P..

14 recordsLinked to original sources

bioRxiv2026

Spatiotemporal dynamics of β-lactam-resistant E. coli in young diseased calves in Wallonia, Belgium

Calves are one of the most common carriers of antibiotic-resistant bacteria among farm animals. However, the impact of antibiotic usage on resistance mechanisms, transmission routes between farms, and the transmission of resistant bacteria to humans remain largely unknown. Here we analyzed the population of {beta}-lactam resistant E. coli isolated over five calving seasons on 444 farms scattered throughout Wallonia, Belgium. Restrictions on critical antibiotics usage led to a reduction of resistance to 3rd generation cephalosporins but has no impact on population structure and {beta}-lactamase genes indicating a resilient population. The correlation between short genetic distances and geographic proximity suggests indirect transmission between farms by fomites with differences between regions east and west of the river Meuse. Phylogenetic analysis of calf isolates with isolates from public databases indicates transitions from bovine to human adaptation. These findings provide new means to further model the spread of E. coli in livestock farming.

microbiology↗

bioRxiv2024

SIMPL: Scalable and hassle-free optimization of neural representations from behaviour

Neural activity in the brain is known to encode low-dimensional, time-evolving, behaviour-related variables. A long-standing goal of neural data analysis has been to identify these variables and their mapping to neural activity. A productive and canonical approach has been to simply visualise neural "tuning curves" as a function of behaviour. In reality, significant discrepancies between behaviour and the true latent variables--such as an agent thinking of position Y whilst located at position X--distort and blur the tuning curves, decreasing their interpretability. To address this, latent variable models propose to learn the latent variable from data; these are typically expensive, hard to tune, or scale poorly, complicating their adoption. Here we propose SIMPL (Scalable Iterative Maximization of Population-coded Latents), an EM-style algorithm which iteratively optimises latent variables and tuning curves. SIMPL is fast, scalable and exploits behaviour as an initial condition to further improve convergence and identifiability. It can accurately recover latent variables in spatial and non-spatial tasks. When applied to a large hippocampal dataset SIMPL converges on smaller, more numerous, and more uniformly sized place fields than those based on behaviour, suggesting the brain may encode space with greater resolution than previously thought.

neuroscience↗

bioRxiv2023

Chance favors the prepared genomes: horizontal transfer shapes the emergence of antibiotic resistance mutations in core genes.

Bacterial lineages vary in the frequency with which they acquire novel traits, like antibiotic resistance or virulence. While previous studies have highlighted the impact of the genetic background on the successful acquisition of novel traits through horizontal gene transfer, the impact of the latter on the subsequent evolution of bacterial genomes by point mutations remains poorly understood. Here, we studied the evolution of resistance to quinolones in thousands of Escherichia coli genomes. Resistance-conferring point mutations in the core genes are frequent and accumulate very quickly. We searched for gene gains and losses significantly associated with the subsequent acquisition of these resistance mutations. This revealed 60 groups of genes in genetic linkage whose gain or loss induced a change in the probability of subsequently becoming resistant to quinolones by point mutations in gyrA and parC. Although some of these chronologies may reflect epidemiological trends, most of these groups encoded functions that were previously associated with antibiotic resistance, tolerance, or persistence, often specifically under quinolone treatment. A lot of the largest groups were found in prophages or plasmids, and they usually increased the likelihood of subsequent resistance mutations. Conversely groups of lost genes were typically small and chromosomal. Quinolone resistance was among the first resistances acquired in the extant lineages of E. coli and its acquisition was associated with an increased likelihood of acquiring other types of resistances, including to aminoglycosides and beta-lactams. Our findings suggest that gene flow shapes the subsequent fixation rate of adaptive mutations in core genes. Given the substantial gene flow within bacterial genomes, interactions between horizontal transfer and point mutations in core genes may be key to the success of adaptation processes.

evolutionary biology↗

bioRxiv2022

Evo-Scope: Fully automated assessment of correlated evolution on phylogenetic trees

O_LICorrelated evolution describes how multiple biological traits evolve together. Recently developed methods provide increasingly detailed results of correlated evolution, sometimes at elevated computational costs. C_LIO_LIHere, we present evo-scope, a fast and fully-automated pipeline with minimal input requirements to compute correlation between discrete traits evolving on a phylogenetic tree. Notably, we improve two of our previously developed tools that efficiently compute statistics of correlated evolution to characterize the nature, such as synergy or antagonism, and the strength of the interdependence between the traits. C_LIO_LIFurthermore, we improved the running time and implemented several additional features, such as genetic mapping, Bayesian Markov Chain Monte Carlo estimation, consideration of missing data and phylogenetic uncertainty. C_LIO_LIAs an application, we scan a published penicillin resistance data set of Streptococcus pneumoniae and characterize genetic mutations that correlate with antibiotic resistance. The pipeline is accessible both as a self-contained github repository (https://github.com/Maxime5G/EvoScope) and through a graphical galaxy interface (https://galaxy.pasteur.fr/u/maximeg/w/evoscope). C_LI

evolutionary biology↗

bioRxiv2022

Carbapenem heteroresistance of KPC-producing Klebsiella pneumoniae results from tolerance, persistence and resistance.

Carbapenemase-producing Klebsiella pneumoniae (CPKp) have disseminated globally and represent a major threat in hospitals with few therapeutic options and high mortality rates. Isolates producing the carbapenemase KPC (KPC-Kp) might be classified as susceptible according to clinical breakpoints by antibiotic susceptibility testing (AST), allowing the use of imipenem or meropenem for treatment of infections. However, some KPC-Kp show heteroresistance (HR) to carbapenems, with colonies growing in the inhibition halo of agar-based AST. HR KPC-Kp have been associated with a higher risk of treatment failure. Here, we characterized the diversity of mechanisms behind HR to imipenem of these isolates. By analyzing a diverse collection of CPKp, we showed that HR is frequent among KPC-Kp. By monitoring single HR colony appearance using the ScanLag setup, we discriminated surviving cells in two subpopulations leading to a Gaussian-like distribution of early-appearing colonies, with a delayed emergence compared to colonies arising in the absence of antibiotics, and a long tail of late-appearing colonies. A subset of colonies showed a reduced growth rate. Characterization of surviving populations by AST and whole-genome sequencing of 333 colonies revealed a majority of parental genotypes and a broad landscape of genetic alterations in 28% of the colonies, including gene loss, DNA amplification and point mutations. This unveils the complexity of imipenem HR among KPC-Kp isolates, which involves tolerant and persistent cells, but also resistant bacteria. These observations contribute to a better understanding of reasons behind carbapenem treatment failure of KPC-Kp isolates. IMPORTANCEThe ability of a bacterium to defeat antibiotics not only depends upon resistance, but also on tolerance and persistence, which allow a bacterial population to temporarily survive high drug doses. Carbapenems are antibiotics of last resort and Klebsiella pneumoniae isolates producing the carbapenemase KPC are a threat to hospitals, although they might remain susceptible to carbapenems. However, seemingly homogeneous populations of KPC-K. pneumoniae isolates frequently show varying degrees of susceptibility to carbapenem, i.e., a phenomenon called heteroresistance. We characterized bacteria surviving a high dose of imipenem, progressively degraded by the released carbapenemase, by monitoring the growth of the resulting colonies using the ScanLag system, their genome sequence and carbapenem susceptibility. We show that the observed phenotypic diversity combines tolerance, persistence and resistance making the treatment with high doses of carbapenems frequently inefficient.

microbiology↗

bioRxiv2021

Specificities and commonalities of carbapenemase producing Escherichia coli isolated in France from 2012 to 2015.

Carbapenemase-producing Escherichia coli (CP-Ec) represent a major public health threat with a risk of dissemination in the community as it has occurred for lineages producing extended spectrum {beta}-lactamases. To characterize the extend of CP-Ec spread in France, isolates from screening and infection samples received at the French National Reference Centre laboratory (F-NRC) for carbapenemase-producing Enterobacterales were investigated. Six hundred and ninety one CP-Ec isolates collected between 2012 and 2015 and 22 before were fully sequenced. Analysis of their genome sequences revealed some disseminating multidrug resistant (MDR) lineages frequently acquiring diverse carbapenemase genes mainly belonging to clonal complex (CC) 23 (ST 410) and CC10 (ST10, ST167) and sporadic isolates including rare ST131 isolates (n=17). However, the most represented ST was ST38 (n=92) with four disseminated lineages carrying blaOXA-48-like genes inserted in the chromosome. Globally, the most frequent carbapenemase gene (n=457) was blaOXA-48. It was also less frequently associated with MDR isolates being the only resistance gene in 119 isolates. Thus, outside the ST38 clades, its acquisition was frequently sporadic with no sign of dissemination, reflecting the circulation of the IncL plasmid pOXA-48 in France and its high frequency of conjugation. In contrast blaOXA-181 or blaNDM genes were often associated with the evolution of MDR E. coli lineages characterized by mutations in ftsI and ompC. IMPORTANCECarbapenemase-producing Escherichia coli (CP-Ec) might be difficult to detect, as minimal inhibitory concentrations can be very low. However, their absolute number and their proportion among carbapenem-resistant Enterobacterales have been increasing, as reported by WHO and national surveillance programs. This suggests a still largely uncharacterized community spread of these isolates. Here we have characterized the diversity and evolution of CP-Ec isolated in France before 2016. We show that carbapenemase genes are associated with a wide variety of E. coli genomic backgrounds and a small number of dominant phylogenetic lineages. In a significant proportion of CP-Ec, the most frequent carbapenemase gene blaOXA-48, was detected in isolates lacking any other resistance gene, reflecting the dissemination of pOXA-48 plasmids, likely in the absence of any antibiotic pressure. In contrast carbapenemase gene transfer may also occur in multi-drug resistant E. coli, ultimately giving rise to at-risk lineages encoding carbapenemases with a high potential of dissemination.

microbiology↗

bioRxiv2021

A model-based approach to characterize enzyme-mediated response to antibiotic treatments: going beyond the SIR classification

Commensal and pathogenic E. coli strains are increasingly found to be resistant to {beta}-lactams, one of the most widely prescribed classes of antibiotics. Understanding escape to such treatments is complex since {beta}-lactams have several cellular targets and since several mechanisms might be involved in treatment escape in a combined manner. Surprisingly, the accumulated knowledge has not yet proven effective enough to predict the bacterial response to antibiotic treatments at both cellular and population levels with quantitative accuracy for -producing bacteria. Here, we propose a mathematical model that captures in a comprehensive way key phenomena happening at the molecular, cellular, and population levels, as well as their interactions. Our growth-fragmentation model gives a central role to cellular heterogeneity and filamentation as a way for cells to gain time until the degradation of the antibiotic by the {beta}-lactamases released by the dead cell population. Importantly, the model can account for the observed temporal evolution of the total (live and dead) biomass and of the live cell numbers for various antibiotic concentrations. To our knowledge, this is the first model able to quantitatively reconciliate these two classical views on cell death (OD and CFUs) for clinical isolates expressing extended-spectrum beta-lactamases (ESBL). Moreover, our model has a strong predictive power. When calibrated using a slight extension of OD-based data that we propose here, it can predict the CFU profiles in initial and delayed treatments despite inoculum effects, and suggest non-trivial optimal treatments. Generating quality data in quantity has been essential for model development and validation on non-model E. coli strains. We developed protocols to increase the reproducibility of growth kinetics assays and to increase the throughput of CFU assays.

biophysics↗

bioRxiv2021

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↗

bioRxiv2021

The CovR regulatory network drives the evolution of Group B Streptococcus virulence

Virulence of the neonatal pathogen Group B Streptococcus depends on the master regulator CovR. Inactivation of CovR leads to large-scale transcriptome remodeling and impairs almost every step of the interaction between the pathogen and the host. However, comparative analyses suggested a plasticity of the CovR signalling pathway in clinical isolates, probably due to the host selective pressure and leading to phenotypic heterogeneity in the bacterial population. Here, we characterize the CovR regulatory network in a strain representative of the hypervirulent lineage responsible of the majority of late-onset meningitidis. Genome-wide binding and transcriptome analysis demonstrated that CovR acts as a direct and global repressor of virulence genes, either as a primary regulator or with specialized co-regulators. Remarkably, CovR directly regulates genes of the pan-genome, including the two specific hypervirulent adhesins and horizontally acquired genes, as well as core-genes showing mutational biases in the population. Parallel analysis of the CovR network in a second isolate links strain-specificities to micro-evolutions in CovR-regulated promoters and to broad difference due to variability in CovR activation by phosphorylation. Our results highlight the direct, coordinated, and strain-specific regulation of virulence genes by CovR. This intra-species evolution of the signalling network reshapes bacterial-host interactions, increasing the potential for adaptation and the emergence of clone associated with specific diseases.

microbiology↗

bioRxiv2020

Drivers of ESBL-producing Escherichia coli dynamics in calf fattening farms: a modelling study

The contribution of bacteria in livestock to the global burden of antimicrobial resistance raises concerns worldwide. However, the dynamics of selection and diffusion of antimicrobial resistance in farm animals are not fully understood. Here, we used veal calf fattening farms as a model system, as they are a known reservoir of Extended Spectrum {beta}-Lactamase-producing Escherichia coli (ESBL-EC). Longitudinal data of ESBL-EC carriage and antimicrobial use (AMU) were collected from three veal calf farms during the entire fattening process. We developed 18 agent-based mechanistic models to assess different hypotheses regarding the main drivers of ESBL-EC dynamics in calves. The models were independently fitted to the longitudinal data using Markov Chain Monte Carlo and the best model was selected. Within-farm transmission between individuals and sporadic events of contamination were found to drive ESBL-EC dynamics on farms. In the absence of AMU, the median carriage duration of ESBL-EC was estimated to be 19.6 days (95% credible interval: [12.7; 33.3]). In the best model, AMU was found to influence ESBL-EC dynamics, by affecting ESBL-EC clearance rather than acquisition. This effect of AMU was estimated to decrease gradually after the end of exposure and to disappear after 62.5 days [50.0; 76.9]. Moreover, using a simulation study, we quantified the efficacy of ESBL-EC mitigation strategies. Decreasing ESBL-EC prevalence by 50% on arrival at the fattening farm reduced prevalence at slaughter age by 33.3%. Completely eliminating the use of selective antibiotics had a strong effect on average ESBL-EC prevalence (relative reduction of 79.6%), but the effect was mild if this use was only decreased by 50% compared to baseline (relative reduction of 3.7%).

microbiology↗

bioRxiv2019

Dynamics of Livestock-Associated Methicillin Resistant Staphylococcus aureus in pig farms networks: insight from mathematical modeling and French data

Livestock-associated methicillin resistant Staphylococcus aureus (LA-MRSA) colonizes livestock animals worldwide, especially pigs and calves. Although frequently carried asymptomatically, LA-MRSA can cause severe infections in humans. It is therefore important to better understand LA-MRSA spreading dynamics within pig farms and over pig farms networks, and to compare different strategies of control and surveillance. For this purpose, we propose a stochastic meta-population model of LA-MRSA spread along the French pig-farm network (n=10,542 farms), combining within- and between-farms dynamics, based on detailed data on breeding practices and pig exchanges between holdings. We calibrate the model using French epidemiological data. We then identify farm-level factors associated with the spreading potential of LA-MRSA in the network. We also show that, assuming control measures applied in a limited (n=100) number of farms, targeting farms depending on their centrality in the network is the only way to significantly reduce LA-MRSA global prevalence. Finally, we investigate the scenario of emergence of a new LA-MRSA strain, and find that the farms with the highest indegree would be the best sentinels for a targeted surveillance of such a strains introduction.

microbiology↗

bioRxiv2018

Stepwise evolution and convergent recombination underlie the global dissemination of carbapenemase-producing Escherichia coli

Carbapenem-resistant Enterobacteriaceae are considered by WHO as \"critical\" priority pathogens for which novel antibiotics are urgently needed. The dissemination of carbapenemase-producing Escherichia coli (CP-Ec) in the community is a major public health concern. However, the global molecular epidemiology of CP-Ec isolates, as well as the genetic bases for the emergence and global dissemination of specific lineages, remain largely unknown. Here, by combining a thorough genomic and evolutionary analysis of Ec ST410 isolates with a broad analysis of 12,584 E. coli and Shigella genomes, we showed that the fixation of carbapenemase genes depends largely on a combination of mutations in ftsI encoding the penicillin binding protein 3 and in the porin genes ompC and ompF. Mutated ftsI genes and a specific ompC allele inducing reduced susceptibility to diverse {beta}-lactams spread across the species by recombination. The selection of CP-Ec lineages able to disseminate is more complex than the mere acquisition of carbapenemase genes.

microbiology↗

bioRxiv2018

Inference of significant microbial interactions from longitudinal metagenomics sequencing data

Data of next-generation sequencing (NGS) and their analysis have been facilitating advances in our understanding of microbial ecosystems such as human gut microbiota. However, inference of microbial interactions occurring within an ecosystem is still a challenge mainly due to metagenomics sequencing (e.g., 16S rDNA sequences) providing relative abundance of microbes instead of absolute cell count. In order to describe the population dynamics in microbial communities and estimate the involved microbial interactions, we introduce a procedure by integrating generalized Lotka-Volterra equations, forward stepwise regression and bootstrap aggregation. First, we successfully identify experimentally confirmed microbial interactions with relative abundance data of a cheese microbial community. Then, we apply the procedure to time-series of 16S rDNA sequences of gut microbiomes of children who were progressing to Type 1 diabetes (T1D progressors), and compare their gut microbial interactions to a healthy control group. Our results suggest that the number of inferred microbial interactions increased over time during the first three years of life. More microbial interactions are found in the gut flora of healthy children than the T1D progressors. The inhibitory effects from Actinobacteria and Bacilli to Bacteroidia, from Bacteroidia to Clostridia, and the benifit effect from Clostridia to Bacteroidia are shared between healthy children and T1D progressors. An inhibition of Clostridia by Gammaproteobacteria is found in healthy children that maintains through their first three years of life. This suppression appears in T1D progressors during the first year of life, which transforms to a commensalism relationship at the age of three years old. Gammaproteobacteria is found exerting an inhibition on Bacteroidia in the T1D progressors, which is not identified in the healthy controls.

ecology↗

bioRxiv2017

Demographic fluctuation of community-acquired antibiotic-resistant Staphylococcus aureus lineages: potential role of flimsy antibiotic exposure

Community-acquired (CA) -as opposed to hospital acquired- methicillin-resistant Staphylococcus aureus (MRSA) lineages arose worldwide during the 1990s. To determine which factors, including selective antibiotic pressure, govern the expansion of two major lineages of CA-MRSA, namely \"USA300\" in Northern America and the \"European ST80\" in North Africa, Europe and the Middle East, we explored virulence factor expression, and fitness levels with or without antibiotics. The sampled strains were collected in a temporal window representing various steps of the epidemics, reflecting predicted effective population size as inferred from whole genome analysis. In addition to slight variations in virulence factor expression and biofilm production that might influence the ecological niches of theses lineages, competitive fitness experiments revealed that the biological cost of resistance to methicillin, fusidic-acid and fluoroquinolone is totally reversed in the presence of trace amount of antibiotics. Our results suggest that low-level antibiotics exposure in human and animal environments contributed to the expansion of both European-ST80 and USA300 lineages in community setting. This surge was likely driven by antibiotic (ab)use promoting the accumulation of antibiotics as environmental pollutants. The current results provide a novel link between effective population size increase of a pathogen and a selective advantage conferred by antibiotic resistance.

microbiology↗