Biology subjects

Merker, M.

Publications and source records attributed to Merker, M..

9 recordsLinked to original sources

bioRxiv2025

Evolution of β-lactam resistance causes fitness reductions and several cases of collateral sensitivities in the human pathogen Haemophilus influenzae

The evolution of antimicrobial resistant (AMR) pathogens poses a global health threat and it is unclear if evolutionary trajectories to resistance lead to predictable phenotypes. We analyzed AMR-evolution in the human pathogen Haemophilus influenzae in controlled evolution experiments with increasing concentrations of either ampicillin, cefotaxime, or ceftriaxone. We isolated 315 clones from different time points of six independent experiments and characterized changes in genome sequences, bacterial fitness, and minimum inhibitory concentrations (MICs) to 14 antibiotics. Resistance evolution under ampicillin and cefotaxime was mainly driven by mutations in the ftsI gene, encoding the penicillin-binding protein 3. However, ceftriaxone exposure repeatedly selected for amino acid substitutions in the outer membrane protein P2 (OmpP2). Some OmpP2-mutants reproducibly showed phenotypic heterogeneity for ceftriaxone but also for fluoroquinolones, rifampicin and tetracycline. Bacterial fitness assessments revealed trade-offs between resistance-associated mutations and growth, though no systematic correlation of MIC increase and growth deficit was detected. Over 50% of the selected clones became more susceptible to aminoglycosides, clarithromycin, and colistin, while some mutation patterns resulted in cross-resistance to meropenem and fluoroquinolones. Overall, beta-lactam antibiotics reproducibly selected mutants with increased MICs, but evolutionary pathways and resulting phenotypes remain unpredictable. These findings highlight the complexity of resistance evolution and suggest that future AMR treatment strategies may need to consider strain-specific and collateral effects more closely.

genomics↗

bioRxiv2024

Serratia sp. dominates the lung microbiome of patients with tuberculosis and non-tuberculous mycobacterial lung diseases

BackgroundPathogenic mycobacteria, such as the Mycobacterium tuberculosis complex (Mtbc), and non-tuberculous mycobacteria (NTMs) can cause severe chronic pulmonary infections. However, not all infected patients develop active disease. Yet, it is unclear whether certain key taxa in the lung microbiome play a role in the pathogenesis of tuberculosis (TB) and NTM lung disease (LD). Material and methodsWe employed 16S rRNA amplicon sequencing (V3-V4) to characterize the baseline microbiome in bronchoalveolar lavage fluid from a patient cohort diagnosed with TB (n=23), NTM-LD (n=19), or non-infectious disease (n=4) prior to the initiation of therapy. The analysis included the depletion of human cells, removal of extracellular DNA, implementation of a decontamination strategy, and exploratory whole-metagenome sequencing (WMS) of selected specimens. ResultsThe genera Serratia and unclassified Yersiniaceae dominated the lung microbiome of all patients with a mean relative abundance of >15% and >70%, respectively. However, at the sub-genus level, as determined by amplicon sequence variants (ASVs), TB-patients exhibited increased community diversity, and TB specific ASV_7 (unclassified Yersiniaceae), and ASV_21 (Serratia) signatures. Exploratory analysis by WMS and ASV similarity analysis suggested the presence of Serratia liquefaciens, Serratia grimesii, Serratia myotis and/or Serratia quinivorans in both TB and NTM-LD patients. Overall, presence/absence of certain Serratia ASVs was significantly associated with disease state. ConclusionThe lung microbiome of TB patients harbors a distinct, and heterogenous microbiome structure with specific occurrences of certain Serratia traits. Serratia sp. plays a pivotal role in our understanding of microbial interactions in the lung microbiome of patients infected with Mtbc.

microbiology↗

bioRxiv2023

GlnA3Mt is able to glutamylate spermine but it is not essential for the detoxification of spermine in Mycobacterium tuberculosis

Mycobacterium tuberculosis is well adapted to survive and persist in the infected host, escaping the host immune response. Since polyamines, which are synthesized by infected macrophages are able to inhibit the growth of M. tuberculosis, the pathogen needs strategies to cope with toxic spermine. The actinomycete Streptomyces coelicolor, closely related to M. tuberculosis makes use of a gamma-glutamylation pathway to functionally neutralize spermine. We therefore considered whether a similar pathway would be functional in M. tuberculosis. In the current study we demonstrated that M. tuberculosis growth was inhibited by the polyamine spermine. Using a glutamine synthetase-based in vitro enzymatic activity assay we determined that GlnA3Mt (Rv1878) is a gamma-glutamylspermine synthetase. In an in vitro phosphate release assay we showed that purified His-Strep-GlnA3Mt as well as native GlnA3Mt prefer spermine as a substrate to putrescine, cadaverine, spermidine or other monoamines and amino acids, suggesting that GlnA3Mt may play a specific role in the detoxification of the polyamine spermine. However, the deletion of the glnA3 gene in M. tuberculosis did not result in growth inhibition or enhanced sensitivity of M. tuberculosis in the presence of high spermine concentrations. Subsequent RNAsequencing of M. tuberculosis bacteria revealed that the gene cluster consisting of the efflux pump-encoding rv3065-rv3066-rv3067 genes is upregulated upon spermine treatment, suggesting its involvement in bacterial survival under elevated spermine concentrations. IMPORTANCEAntibiotics for the treatment of Mycobacterium tuberculosis infections attack classical bacterial targets, such as the cell envelope or the ribosome. Upon M. tuberculosis infection macrophages synthesize the polyamine spermine which - at elevated concentrations - is toxic for M. tuberculosis. Based on our investigations of spermine resistance in the closely related actinomycete Streptomyces coelicolor, we hypothesized that the glutamyl-sperminesynthetase GlnA3 may be responsible for resistance against toxic spermine. Here we show that the mycobacterial glutamyl-sperminesynthetase indeed can inactivate spermine by glutamylation. However, GlnA3 is probably not the only resistance mechanism since a glnA3 mutant of M. tuberculosis can survive under spermine stress. Gene expression studies suggest that an efflux pump may participate in resistance. The functional role of GlnA3Mt as well as of the spermine transporter in the pathogenicity of M. tuberculosis is of special interest for their validation as new targets of novel anti-tubercular drugs.

microbiology↗

bioRxiv2021

Deciphering Bedaquiline and Clofazimine Resistance in Tuberculosis: An Evolutionary Medicine Approach

Bedaquiline (BDQ) and clofazimine (CFZ) are core drugs for treatment of multidrug resistant tuberculosis (MDR-TB), however, our understanding of the resistance mechanisms for these drugs is sparse which is hampering rapid molecular diagnostics. To address this, we employed a unique approach using experimental evolution, protein modelling, genome sequencing, and minimum inhibitory concentration data combined with genomes from a global strain collection of over 14,151 Mycobacterium tuberculosis complex isolates and an extensive literature review. Overall, 230 genomic variants causing elevated BDQ and/or CFZ MICs could be discerned, with 201 (87.4%) variants affecting the transcriptional repressor (Rv0678) of an efflux system (mmpS5-mmpL5). Structural modelling of Rv0678 suggests four major mechanisms that confer resistance: impairment of DNA binding, reduction in protein stability, disruption of protein dimerization, and alteration in affinity for its fatty acid ligand. These modelling and experimental techniques will improve personalized medicine in an impending drug resistant era.

microbiology↗

bioRxiv2021

Transmission of pre-XDR and XDR-TB in the Mumbai Metropolitan Region, India

Multidrug-resistant (MDR) and extensively drug resistant (XDR) Mycobacterium tuberculosis complex (MTBC) strains are a great challenge for tuberculosis (TB) control in India. Still, factors driving the MDR/XDR epidemic in India are not well defined. To address this, whole genome sequencing (WGS) data from 1 852 MTBC strains obtained from patients from a tertiary care hospital laboratory in Mumbai were used for phylogenetic strain classification, resistance prediction, and cluster analysis (12 allele distance threshold). Factors associated with pre-XDR/XDR-TB were defined by odds ratios and a multivariate logistic regression model. Overall, 1 017 MTBC strains were MDR, out of which 57.8 % (n=591) were pre-XDR, and 17.9 % (n=183) were XDR. Lineage 2 (L2) strains represented 41.7 % of the MDR, 77.2 % of the pre-XDR, and 86.3 % of the XDR strains, and were significantly associated with pre-XDR/XDR-TB (P < 0.001). Cluster rates were high among MDR (78 %) and pre-XDR/XDR (85 %) strains with three dominant L2 strain clusters (Cl 1-3) representing half of the pre-XDR and two thirds of the XDR-TB cases. Cl 1 strains accounted for 52.5 % of the XDR MTBC strains. Transmission could be confirmed by identical mutation patterns of particular pre-XDR/XDR strains. As a conclusion high rates of pre-XDR/XDR strains among MDR-TB patients require rapid changes in treatment and control strategies. Transmission of particular pre-XDR/XDR L2 strains is the main driver of the pre-XDR/XDR-TB epidemic. Accordingly, control of the epidemic in the region requires measures with stopping transmission especially of pre-XDR/XDR L2 strains.

molecular biology↗

bioRxiv2020

Insertion and deletion evolution reflects antibiotics selection pressure in a Mycobacterium tuberculosis outbreak.

In genome evolution, genetic variants are the source of diversity, which natural selection acts upon. Treatment of human tuberculosis (TB) induces a strong selection pressure for the emergence of antibiotic resistance in the infecting Mycobacterium tuberculosis (MTB) strains. MTB evolution in response to treatment has been intensively studied and mainly attributed to point substitutions. However, the contribution of insertions and deletions (indels) to MTB genome evolution remains poorly understood. Here, we analyzed a multi-drug resistant MTB outbreak for the presence of high-quality indels and substitutions. We find that indels are significantly enriched in genes conferring antibiotic resistance. Furthermore, we show that indels are inherited during the outbreak and follow a molecular clock with an evolutionary rate of 5.37e-9 indels/site/year, which is 23x lower compared to the substitution rate. Inherited indels may co-occur with substitutions in genes along related biological pathways; examples are iron storage and resistance to second-line antibiotics. This suggests that epistatic interactions between indels and substitutions affect antibiotic resistance and compensatory evolution in MTB. Author summaryMycobacterium tuberculosis (MTB) is a human pathogen causing millions of deaths every year. Its genome evolution has been intensively characterized through point substitutions, i.e., nucleotide exchanges that are inherited. Additional mutations are short or long insertions and deletions of nucleotides, termed indels. Short indels in genes might change the reading frame and disrupt the gene product. Here we show that antibiotic treatment has a strong impact on indel evolution in an MTB outbreak. Namely, indels occur frequently in genes causing antibiotic resistance upon disruption. Furthermore, we show that the molecular clock, i.e., the temporal emergence of variants over time, holds for short indels in MTB genomes. Finally, we observe that indels may co-occur with substitutions in genes along related biological pathways. These results support the notion that indels are important contributors to MTB evolution. We anticipate that including indels in the analyses of MTB outbreaks will improve our understanding of antibiotic resistance evolution.

microbiology↗

bioRxiv2018

Compensatory evolution drives multidrug-resistant tuberculosis in Central Asia

Bacterial factors favoring the unprecedented multidrug-resistant tuberculosis (MDR-TB) epidemic in the former Soviet Union remain unclear.\n\nWe utilized whole genome sequencing and Bayesian statistics to analyze the evolutionary history, temporal emergence of resistance and transmission networks of MDR-MTBC strains from Karakalpakstan, Uzbekistan (2001-2006).\n\nOne MTBC-clone (termed Central Asian outbreak, CAO) with resistance mediating mutations to eight anti-TB drugs existed prior the worldwide introduction of standardized WHO-endorsed directly observed treatment, short-course (DOTS). DOTS implementation in Karakalpakstan in 1998 likely selected for these CAO-strains, comprising 75% of sampled MDR-TB strains in 2005/2006. CAO-strains were also identified in a previously published cohort from Samara, Russia (2008-2010). Similarly, transmission success and resistance development was linked to mutations compensating fitness deficits associated with rifampicin resistance.\n\nThe genetic make-up of these outbreak clades threatens the success of both empirical and standardized guideline driven MDR-TB therapies, including the newly WHO-endorsed short MDR-TB regimen in Uzbekistan.

evolutionary biology↗

bioRxiv2018

Molecular epidemiology and drug resistance patterns of Mycobacterium tuberculosis complex isolates from university students and the local community in Eastern Ethiopia

BackgroundPrevious studies suggest the burden of pulmonary tuberculosis (PTB) in Ethiopia may be greater in university students relative to the overall population. However, little is known about the transmission dynamics of PTB among students and members of the communities surrounding university campuses in Eastern Ethiopia.\n\nMethodsA cross sectional study was conducted in Eastern Ethiopia among culture-confirmed PTB cases from university students (n=36) and community members diagnosed at one of four hospitals (n=152) serving the surrounding area. Drug susceptibility testing (DST) was performed on Mycobacterium Tuberculosis Complex (MTBC) isolates using BD Bactec MGIT 960 and molecular genotyping was performed using spoligotyping and 24-loci MIRU-VNTR. MTBC strains with Identical genotyping patterns were assigned to molecular clusters as surrogate marker for recent transmission and further contact tracing was initiated among clustered patients.\n\nResultsAmong all study participants, four MTBC lineages and 11 sub-lineages were identified, with Ethiopia_3 being most common sub-lineage (29.4%) and associated with strain clustering (P= 0.016). We identified 13 (8.1%) strains phylogenetically related to the known Ethiopian sub-lineages with a distinct Spoligotyping patterns and designated as Ethiopia_4. The clustering rate of MTB strains was 52.9% for university students and 66.7% for community members with a Recent Transmission Index (RTI) of 17.6% and 48.4%, respectively. Female gender, urban residence, and new TB cases were significantly associated with strain clustering (p<0.05). Forty-eight (30%) of the study participants were resistant to one or more first line anti TB drugs, three patients were classified as multidrug resistant (MDR), defined by isoniazid and rifampicin resistance.\n\nConclusionWe found evidence of significant PTB cases clustering and recent transmission among Ethiopian university students and the local community in eastern Ethiopia; with Ethiopia_3 being the predominant circulating sub-lineage. A country wide comprehensive molecular surveillance and drug resistance profiling of MTBC strains and Implementation of TB control programs within universities and the surrounding community should be considered to decrease TB transmission.

epidemiology↗

bioRxiv2018

The relationship between transmission time and clustering methods in Mycobacterium tuberculosis epidemiology

BackgroundTracking recent transmission is a vital part of controlling widespread pathogens such as Mycobacterium tuberculosis. Multiple methods with specific performance characteristics exist for detecting recent transmission chains, usually by clustering strains based on genotype similarities. With such a large variety of methods available, informed selection of an appropriate approach for determining transmissions within a given setting/time period is difficult.\n\nMethodsThis study combines whole genome sequence (WGS) data derived from 324 isolates collected 2005-2010 in Kinshasa, Democratic Republic of Congo (DRC), a high endemic setting, with phylodynamics to unveil the timing of transmission events posited by a variety of standard genotyping methods. Clustering data based on Spoligotyping, 24-loci MIRU-VNTR typing, WGS based SNP (Single Nucleotide Polymorphism) and core genome multi locus sequence typing (cgMLST) typing were evaluated.\n\nFindingsOur results suggest that clusters based on Spoligotyping could encompass transmission events that occurred over 70 years prior to sampling while 24-loci-MIRU-VNTR often represented two or more decades of transmission. Instead, WGS based genotyping applying low SNP or cgMLST allele thresholds allows for determination of recent transmission events in timespans of up to 10 years e.g. for a 5 SNP/allele cut-off.\n\nInterpretationWith the rapid uptake of WGS methods in surveillance and outbreak tracking, the findings obtained in this study can guide the selection of appropriate clustering methods for uncovering relevant transmission chains within a given time-period. For high resolution cluster analyses, WGS-SNP and cgMLST based analyses have similar clustering/timing characteristics even for data obtained from a high incidence setting.

epidemiology↗