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PubMed2024

Exclusive enteral nutrition initiates individual protective microbiome changes to induce remission in pediatric Crohn's disease.

Exclusive enteral nutrition (EEN) is a first-line therapy for pediatric Crohn's disease (CD), but protective mechanisms remain unknown. We established a prospective pediatric cohort to characterize the function of fecal microbiota and metabolite changes of treatment-naive CD patients in response to EEN (German Clinical Trials DRKS00013306). Integrated multi-omics analysis identified network clusters from individually variable microbiome profiles, with Lachnospiraceae and medium-chain fatty acids as protective features. Bioorthogonal non-canonical amino acid tagging selectively identified bacterial species in response to medium-chain fatty acids. Metagenomic analysis identified high strain-level dynamics in response to EEN. Functional changes in diet-exposed fecal microbiota were further validated using gut chemostat cultures and microbiota transfer into germ-free Il10-deficient mice. Dietary model conditions induced individual patient-specific strain signatures to prevent or cause inflammatory bowel disease (IBD)-like inflammation in gnotobiotic mice. Hence, we provide evidence that EEN therapy operates through explicit functional changes of temporally and individually variable microbiome profiles.

Crohn Disease↗

PubMed2026

Species and strain sharing in the vaginal microbiome of mothers and their adult daughters.

The vaginal microbiome is key for women's health. However, its establishment, interindividual variation and dynamics remain poorly understood. Here, we investigate bacterial relatedness at species and strain level in adult mother-daughter pairs from the large-scale citizen-science program Isala. Using metagenomic sequencing with quality control including 16S rRNA profile comparison, along with targeted culturing, we assess intergenerational microbiome sharing. At species level, daughters' vaginal microbiomes are significantly more similar to their mothers' than to those of unrelated mothers, with a strong mother-daughter correlation in Lactobacillus crispatus dominance. Strain-level analyses of metagenomes and isolate genomes reveal intraspecies diversity in L. crispatus, with up to two strains observed within the same host, and support intergenerational vaginal bacteria sharing. SNV counts in shared L. crispatus strains show no correlation with daughters' ages. Together, these findings suggest that maternal transmission, host factors, and (shared) environment collectively shape the vaginal microbiome, providing fundamental ecological insights into vaginal microbiome dynamics and perspectives toward lactobacilli-based applications.

CP: microbiology↗

PubMed2026

Mannheimia haemolytica strain-level diversity in cattle populations.

High-resolution genomic characterization is essential for understanding diversity, pathogenicity, and transmission dynamics of bacterial pathogens. Mannheimia haemolytica (Mh) is the most consequential bacterial agent associated with bovine respiratory disease (BRD) in cattle, as a leading cause of morbidity, mortality, and antimicrobial use. Historically, BRD pathogens, including Mh, have been studied using culture or PCR approaches that provided limited ability to characterize fine-scale genomic variation across communities. Here, we evaluated target-enriched (TE) shotgun sequencing, a culture-independent method capable of strain-level resolution within metagenomic data, for detecting and characterizing Mh in comparison with qPCR and 16S rRNA gene sequencing. Nasal swabs (10 individual and 2 composited DNA samples per pen) and environmental samples (three ropes hung on pen rails and three water bowl swabs per pen) were collected from four pens in each of five distinct cattle populations. DNA was extracted for TE sequencing to identify Mh at both species and genomic sequence variant (GSV) levels, and to characterize antimicrobial resistance genes across the bacterial communities. qPCR was performed to quantify Mh genome copies, and 16S rRNA gene sequencing was used to assess the broader respiratory microbiome. TE sequencing identified Mh in 100% of TE-tested samples and classified multiple GSVs in all but 3 of 121 samples. GSV profiles clustered within housing groups and varied across cattle populations, indicating structured strain-level diversity. In contrast, Mannheimia spp. were detected in only 47.7% of samples by 16S rRNA sequencing. These findings demonstrate that TE sequencing enables sensitive, strain-level characterization of Mh in cattle and environmental samples and reveals substantial within-population genomic diversity not captured by conventional approaches.IMPORTANCETarget-enriched shotgun sequencing enabled sensitive, strain-level detection of Mannheimia haemolytica (Mh), revealing multiple co-circulating genomic sequence variants (GSVs) within and among cattle groups. This demonstrates greater genetic variability of Mh populations in beef cattle than has been previously recognized. The clustering of GSVs within housing groups, together with the overlap between respiratory and environmental samples, is consistent with the hypothesis that contagious transmission contributes to Mh ecology. These results highlight the potential utility of composite nasal swab and environmental samples for future studies evaluating relationships between Mh genomic variation and disease risk.

Animals↗

PubMed2026

ZILA-SRM: a probabilistic framework with zero-inflated latent models for robust strain reconstruction from metagenomes.

UNLABELLED: Resolving bacterial strain diversity from shotgun metagenomic data is fundamental to understanding intra-host evolution, transmission dynamics, and phenotypic heterogeneity. However, current probabilistic approaches face a severe "identifiability limit" when disentangling highly similar genomes. Under high-noise conditions, sequencing errors, coverage overdispersion, and collinearity confound standard expectation-maximization algorithms, resulting in overfitting and spurious "ghost" strains. Here, we introduce zero-inflated latent allocation for strain reconstruction from metagenomes with adaptive sparsity regularization (ZILA-SRM) to overcome this barrier through three innovations. First, we integrate a zero-inflated Poisson mixture model to decouple "structural zeros" (true strain absence) from "sampling zeros" (stochastic dropout), addressing overdispersion in standard Poisson-based tools. Second, we impose a convex adaptive sparsity regularization penalty that leverages biological sparsity priors to shrink noise artifacts dynamically. Third, we implement a graph-theoretic refinement step using maximal clique enumeration to resolve haplotype collinearity. Benchmarking against StrainFinder and MixtureS on 702 synthetic data sets shows that ZILA-SRM achieves a 20% improvement in precision in high-complexity scenarios while maintaining over 80% recall for minor variants at 0.5% abundance. Re-analysis of deep-sequencing data from 195 Mycobacterium tuberculosis clinical samples reveals cryptic low-abundance drug-resistant variants in 12% of patients, including a minor clone carrying the rpoB S450L mutation. Furthermore, application to skin microbiome data sets further reveals a strong negative correlation between dominant Staphylococcus aureus and Staphylococcus epidermidis strains, providing genomic evidence for competitive exclusion. These findings establish ZILA-SRM as a robust tool for resolving strain-level diversity in complex metagenomes. IMPORTANCE: Understanding microbial communities at the strain level is critical because closely related strains can differ dramatically in traits such as drug resistance, virulence, and ecological interactions. However, resolving individual strains from metagenomic sequencing data remains difficult, especially when strains are highly similar or present at low abundance. As a result, biologically meaningful diversity is often obscured or misinterpreted as noise. In this study, we introduce a new framework that improves the reliability of strain reconstruction from complex metagenomic data. By reducing false-positive strain detection while preserving sensitivity to rare variants, our approach enables more accurate characterization of microbial populations. This improved resolution reveals previously hidden subpopulations in clinical and microbiome datasets, providing clearer insights into microbial evolution, competition, and the emergence of clinically relevant traits such as antibiotic resistance.

Metagenomics↗

PubMed2026

Bacteriocin-mediated intraspecies competition driven by acquired Bac41 operon in epidemic Enterococcus faecalis ST179.

Enterococcus faecalis is a common gut commensal and an opportunistic pathogen causing hospital-acquired infections. Despite its clinical importance, comprehensive global genomic and epidemiological data remain limited. Here, we analyzed 5,895 E. faecalis genomes collected between 2000 and 2020 and identified ST179, a human-derived single-operon variant of the high-risk CC16 clonal complex, as an emerging epidemic clone in China. Spot-killing assays revealed that ST179 strongly inhibited other clinical E. faecalis sequence types. Biochemical purification and proteomic analyses identified BacL1 as a key effector associated with this species-specific antibacterial activity. Functional assays confirmed its inhibitory phenotype, providing ST179 with a lineage-specific, bacteriocin-mediated competitive advantage. The high prevalence of the Bac41 operon likely contributed to the epidemiological success and ecological fitness of ST179. These findings highlight the role of bacteriocin-mediated intraspecies competition in shaping E. faecalis population dynamics and suggest that ST179 might become an emerging high-risk lineage in China.IMPORTANCEEnterococcus faecalis is a common gut bacterium and an opportunistic pathogen. We identify ST179 as an emerging epidemic clone in China and show that it outcompetes other strains via the bacteriocin Bac41. This competitive advantage helps explain its rapid spread. Our findings highlight how bacterial competition shapes population dynamics and provide insights into the emergence of high-risk E. faecalis lineages, informing strategies for monitoring and infection control.

Enterococcus faecalis↗

PubMed2026

Rgg144/SHP144-controlled streptolancidin D mediates intra-species competition in Streptococcus pneumoniae with cumulative effect from other bacteriocins and fratricide.

UNLABELLED: Streptococcus pneumoniae is a major colonizer of the human nasopharynx, where inter- and intra-strain competition plays a critical role in shaping population structure and influencing vaccine outcomes. Bacteriocins are key mediators of intra-species competition, yet many of their functions and regulatory mechanisms remain poorly understood. Here, we identify and characterize streptolancidin D, a previously uncharacterized bacteriocin encoded by the sldA-T locus, and demonstrate its contribution to pneumococcal competition. Using isogenic streptolancidin-producing and non-producing variants of a naturally colonizing strain, we show that sldA-T contributes to the inhibition of competitor strains in in vitro biofilms and during murine co-colonization. Importantly, streptolancidin D also inhibited in vitro a subset of genetically diverse pneumococcal isolates representing multiple serotypes, whereas non-producing variants showed no activity. This indicates that its effect is broad and not restricted to isogenic interactions. Genomic analysis of over 7,500 pneumococcal genomes revealed that sldA-T is present in ~12% of isolates, with lineage-associated distribution patterns, and is consistently encoded downstream of the Rgg144/SHP144 quorum sensing system. We further demonstrate that sldA-T is regulated by this system, with sldA-T promoter activity abolished in a SHP-deficient background and partially restored by exogenous peptide stimulation. Finally, we show that streptolancidin D acts in concert with other bacteriocin systems and competence-mediated fratricide, highlighting a multifactorial antimicrobial strategy that enhances pneumococcal competitiveness. Overall, our findings identify a quorum sensing-regulated bacteriocin that contributes to pneumococcal competition and helps shape population dynamics. IMPORTANCE: Bacteriocins are central to bacterial competition and niche occupation, particularly in structured environments like the human nasopharynx. While several pneumococcal bacteriocins have been characterized, the functions of many remain unknown, limiting our understanding of how these systems shape strain fitness and population dynamics. We characterize streptolancidin D, a bacteriocin that enhances intraspecies competitiveness in vitro and in vivo and contributes to the inhibition of genetically diverse pneumococcal strains. We demonstrate that its expression is tightly regulated by the conserved Rgg144/SHP144 quorum sensing system and that the locus is distributed and shows synteny across multiple pneumococcal lineages. Our findings reveal that streptolancidin D operates within a broader network of bacteriocins and competence-associated mechanisms that collectively shape competitive interactions. By integrating genomic, functional, and regulatory analyses, this work expands the known repertoire of pneumococcal antimicrobial systems and provides new insights into the mechanisms underpinning competition and population structure in S. pneumoniae.

Bacteriocins↗

PubMed2025

Systematic evaluation of metatranscriptomic differential gene expression in silico, in vitro, and in vivo enables elucidation of inter-species cross-feeding.

Metatranscriptomic (MTX) sequencing quantifies gene expression from the collective genomes of microbial communities (microbiomes), enabling assessment of functional activity rather than functional potential. While differential expression testing is instrumental to RNA-sequencing analysis, current metatranscriptomic approaches have been benchmarked only on simulated data and not under real operating conditions, resulting in a lack of standard practices. Here, we evaluate the performance of statistical differential expression methods on both simulated datasets and data collected from real bacterial 'mock communities' designed for this purpose. We assess the robustness of individual methods to organisms' low relative abundance, differential abundance, low prevalence, and transcription rate changes, showing that no existing methods perform adequately across all confounding conditions. We then apply the same approaches to metatranscriptomic datasets generated from gnotobiotic mice colonized with defined consortia of human bacterial strains and show that the method nominated by our mock community comparisons successfully inferred cross-feeding dynamics which were validated in vitro. We conclude that MTX method benchmarking on real, not simulated, datasets can and should optimize model implementation, enabling inference and validation of cross-feeding and other inter-species and host-microbe dynamics from in vivo studies.

Journal Article↗

PubMed2026

Intra-strain genomic microevolution and phage resistance in Pseudomonas aeruginosa PAO1 laboratory isolates.

Pseudomonas aeruginosa is a major opportunistic pathogen, and its laboratory reference strain, PAO1, is widely used in microbiological and genetic studies. However, PAO1 often exhibits phenotypic variability that can affect experimental reproducibility. Our PAO1 stock, obtained from a public biobank, is resistant to PP7, a pilus-dependent single-stranded RNA phage known to infect PAO1. This suggests the presence of genetic variants in the stock. To check this possibility, we isolated six phenotypically distinct variants (GU1-GU6) and performed genomic and phenotypic analyses. Notable differences were observed among the isolates in terms of motility, pyocyanin production, and susceptibility to PP7. Whole-genome sequencing revealed that four of the six variants harbored mutations in pilus-associated genes. Among these, GU3 carried a mutation in pilT, which encodes a motor protein essential for type IV pilus retraction, and the loss of retraction led to the PP7 resistance. GU2, GU4, and GU6 shared a nonsense mutation in pilJ, a gene involved in chemotaxis and pilus extension, resulting in reduced twitching motility and lower PP7 infection efficiency. Additionally, we found that a mutation in lasR, a master regulator of quorum sensing, promoted the replication of prophage Pf6, which was integrated into the PAO1 genome. Pf6 replication interferes with PP7 infection, providing an alternative mechanism of resistance. These findings offer new insights into the complexity of phage-host interactions and emphasize the importance of routine verification and careful handling of P. aeruginosa sublines used in bacteriological and phage research.IMPORTANCEPhenotypic and genotypic variability in Pseudomonas aeruginosa PAO1 has been widely reported, raising concerns regarding the reproducibility of laboratory studies that rely on this reference strain. In this study, we isolated six PAO1 variants from a single laboratory stock and demonstrated that they differed markedly in motility, pyocyanin production, and susceptibility to the ssRNA phage PP7. Whole-genome sequencing has revealed that even a single mutation in a pilus-associated gene can profoundly affect bacterial motility and phage susceptibility. Furthermore, we showed that a mutation in lasR, a key regulator of the quorum-sensing system, triggered replication of the Pf6 prophage, which in turn hindered PP7 infection. These findings underscore the dynamic nature of laboratory strains and highlight the need for caution when interpreting results from phage-host interaction studies using reference strains. Our results provide a new understanding of how subtle genetic changes in model strains influence experimental outcomes in microbiology.

Pseudomonas aeruginosa↗

PubMed1976

[New structural components detected in B. pertussis of different serotypes].

The authors present electron microscopic data on the study of morphological peculiarities of the strains belonging to various serological types. All the strains studied had a structure characteristic of Gram-negative bacteria. Two types intracellular membranes and intracytoplasmic crystal-like structures were revealed in a number of strains (No. 222, No. gZ353, No. 475), irrespective of the serological types. Dynamics of formation of the crystal-like structures in the bacterial cell was described. Marked changes occurred in the cells with the formation of crystal-like structures: cytoplasmic membrane became detached from the cell wall with the resultant contraction of the cytoplasm; large periplastic spaces formed.

Bordetella pertussis↗

PubMed2026

Multidimensional prophage profiling of carbapenem-resistant Enterobacteriaceae in Thailand: a nationwide, multicentre, genomic study.

BACKGROUND: Prophages influence bacterial fitness, resistance, and evolution, yet their epidemiology remains poorly understood in carbapenem-resistant Enterobacteriaceae (CRE). In this nationwide study in Thailand, we aimed to describe prophage repertoires in clinical CRE isolates and to explore their potential relevance for molecular epidemiology. METHODS: We performed a nationwide, retrospective, genomic analysis of all CRE clinical isolates collected through our previous national surveillance study involving 11 hospitals in 11 provinces in Thailand between March 25, 2012, and Jul 21, 2017. Whole-genome sequencing data from 747 CRE isolates were analysed. Intact prophages were identified using PHAge Search Tool Enhanced Release (PHASTER) and clustered by nucleotide sequence similarity. Prophage profiles were compared across multilocus sequence types, carbapenemase genotypes, specimens, geography, and patient demographics (age and sex). FINDINGS: Of the included 747 CRE isolates, 170 (23%) were Escherichia coli and 577 (77%) were Klebsiella pneumoniae. 220 (29%) of 747 strains had been isolated from female patients and 264 (35%) from male patients; metadata on patient sex were missing for 263 (35%) isolates. The median patient age was 63 years (IQR 50-72). 71 (10%) of isolates were from blood, 283 (38%) from sputum, 284 (38%) from urine, and 109 (15%) from other specimens. 374 distinct prophage clusters were identified, with significantly more prophages per genome in K pneumoniae (mean 3·01 [SD 1·55]) than in E coli (1·64 [1·46]; p<0·0001). Prophage repertoires largely mirrored bacterial multilocus sequence types. However, even within the highly clonal K pneumoniae sequence type 16 lineage, discrete prophage variation was identified, with common profiles observed in geographically dispersed patients. Respiratory K pneumoniae frequently carried a mosaic prophage with environmental signatures and a type VI secretion system, whereas blood-derived E coli harboured a prophage with immune-modulating genes. Distinct prophage clusters were observed across clinical specimens, age groups, carbapenemase genotype, and geographical region. Strains coharbouring blaNDM-1 plus blaOXA-232 (114 [15%] of 747) had the highest prophage loads. INTERPRETATION: The prophage content was shaped by the bacterial lineage, ecological niche, and temporal dynamics, providing an additional layer of epidemiological resolution beyond conventional genome typing. Integrating prophage profiling into molecular surveillance frameworks could help to identify transmission events, improve infectious source attribution, and enhance infection control strategies. FUNDING: Japan Agency for Medical Research and Development.

Female↗

PubMed2026

Comparative and Subtractive Genomics Analysis of Multidrug-Resistant Klebsiella pneumoniae Strains for Novel Target Identification and Drug Repurposing Strategies.

The rapid rise of multidrug-resistant (MDR) Klebsiella pneumoniae has created a major global health challenge due to the limited availability of conserved therapeutic targets effective across diverse resistant strains. In this study, an integrative computational target-discovery and drug-repurposing framework was applied to six clinically relevant K. pneumoniae strains. Comparative genomic analysis identified 3012 conserved genes, which were subsequently filtered to nine essential, non-host homologous proteins. Among these, three conserved cytoplasmic proteins (accD, cpxR, and mraZ) were prioritized for functional analysis, with acetyl-CoA carboxylase subunit beta (accD) emerging as the most promising therapeutic target based on sequence conservation, predicted essentiality, subcellular localization, and pathway association. Structural assessment supported the reliability of the predicted accD model, whereas consensus binding-site analysis identified key residues suitable for ligand interaction. Virtual screening of FDA-approved drugs followed by molecular docking identified several compounds with favorable binding profiles toward accD. Subsequent molecular dynamics simulations, including root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), hydrogen-bond occupancy, principal component analysis (PCA), and PCA-based free energy landscape (FEL) analyses, consistently identified tenapanor, micafungin, deferoxamine, and cobicistat as the most stable protein-ligand complexes, with tenapanor exhibiting the most favorable overall structural and thermodynamic stability profile. These findings identify accD as a promising therapeutic target in MDR K. pneumoniae and suggest several FDA-approved compounds as potential candidates for drug repurposing. Although experimental validation is needed to confirm their biological activity and therapeutic potential, this study demonstrates the potential of integrating comparative genomics with molecular dynamics analyses to support antimicrobial target identification and drug repurposing against MDR bacterial pathogens.

Klebsiella pneumoniae↗

PubMed1978

On the interactions of Yersinia strains and cell cultures.

Comparative investigations were carried out on the dynamics of invasion of cell cultures by strains Yersinia pestis EV and Yersinia pseudotuberculosis treated vitally with petroleum ether. It was established that the invasiveness of the strains studied was related to the presence of chemical structures of the bacterial surface sensitive to the action of either and whose synthesis was temperature dependent. The penetration and initial stages of intracellular multiplication of the Yersinia were accompanied with a certain activation of the RNA- and protein-syntheses in the host cells. That was clearly expressed in cell populations inoculated with Yersinia variants of high invasiveness. After the 24th hour of inoculation of the cell cultures a decrease of the rate of metabolic processes in invaded cells was observed due to the destructive changes in their cytoplasm. At the end of the investigation it reached values considerably lower than those of the controls.

Animals↗

PubMed2025

Molecular epidemiological surveillance for non-tuberculous mycobacterial pulmonary disease: a single-center prospective cohort study.

UNLABELLED: Bacterial species cultured from sputum change during treatment or observation for non-tuberculous mycobacterial pulmonary disease; however, strain-level changes remain unrecognized. Variable number tandem repeat typing is a standard technique for strain identification; nonetheless, its labor-intensive and time-consuming nature limits routine clinical use. Therefore, we aimed to elucidate species-subspecies and strain dynamics in non-tuberculous mycobacteria and develop a simple sequence-based strain-level determination method. We performed a single-center prospective cohort study of 112 patients with non-tuberculous mycobacterial pulmonary disease. Whole-genome sequencing was performed on two sputum samples collected at enrollment and at the end of follow-up, followed by variable number tandem repeat (VNTR) typing. We also developed a simple long-read sequencing-based digital VNTR (dVNTR) typing method and evaluated its efficacy. Our results demonstrate that core genome multi-locus sequencing typing revealed species/subspecies changes in 13 patients (11.6%); VNTR typing detected strain changes in 16 patients (14.3%) without species/subspecies changes. Overall, pathogen shifts occurred in 29 patients (shift [+] group, 25.9%), whereas 83 had no detectable pathogen shift (shift [-] group, 74.1%). Interestingly, macrolide and amikacin susceptibility changed in both groups, but resistance remained higher in shift (-) patients. dVNTR results aligned with those of conventional VNTR typing. In conclusion, since susceptibility factors remain unclear, routine species/subspecies identification and molecular typing, such as VNTR, are optimal for patient care. Core genome multi-locus sequencing typing with a dVNTR identified pathogen shifts, innovating non-tuberculous mycobacterial pulmonary disease management.Clinical TrialsThis study is registered with UMIN as UMIN 000056067. IMPORTANCE: Pulmonary non-tuberculous mycobacterial disease is a chronic infection in which the causative pathogens may change at the species, subspecies, or strain level over time. Accurate tracking of these changes is essential for optimizing treatment; however, conventional clinical practice lacks efficient methods for monitoring such dynamics. Our study revealed pathogen changes in approximately one-quarter of patients over 1.5 years, prompting the development of a novel surveillance system that integrates next-generation sequencing for both species-subspecies identification and strain-level molecular epidemiology. This innovation enables real-time monitoring of pathogen dynamics, allowing clinicians to promptly adjust treatment strategies and improve patient care through more informed decision-making.

Humans↗

PubMed2026

Bacterial motility in rhizosphere colonization: mechanisms, constraints, and implications for microbial inoculants.

Although the potential of microbial inoculants for sustainable agriculture and environmental restoration has been widely recognized, their field performance remains highly variable and often unpredictable. Current research and development frameworks for microbial inoculants primarily focus on their plant growth-promoting functions and metabolic traits, often overlooking the ecological processes that determine whether introduced strains can successfully disperse, access, and establish within the rhizosphere. Increasing evidence suggests that successful dispersal and establishment cannot be assumed in the highly heterogeneous conditions of soil systems. Here, we summarize the key mechanisms underlying bacterial motility and discuss its role within the broader framework of microbial dispersal, highlighting how motility-mediated processes contribute to rhizosphere colonization. We propose that bacterial motility represents a key mechanistic determinant of biofertilizer efficacy. Its role extends beyond the ability of inoculant strains to physically reach the rhizosphere, encompassing competitive colonization on the root surface, long-term persistence, and the ability to respond to dynamic root-derived chemical gradients associated with newly developing root tissues. We argue that inoculant motility should be elevated from a passive descriptive trait to a core design parameter that can be systematically incorporated and regulated during the development and optimization of microbial inoculants. We outline a multi-tiered strategic framework for next-generation biofertilizer engineering that integrates strain selection, community design, motility regulation, and deployment strategies, thereby unlocking the full potential of synthetic microbial consortia for sustainable agriculture, ecosystem restoration, and climate change mitigation.

Biofertilizer↗

PubMed2026

Metagenomic polymorphic toxin effector and immunity profiling predicts microbiome development and disease-related dysbiosis.

Bacteria use antagonistic interbacterial weapons, such as polymorphic toxin secretion systems (TSS), to compete for niches in the human gut microbiome. We hypothesized that TSS influence gut microbiome development and disease-related dysbiosis. We developed a bioinformatic marker gene approach (PolyProf) to quantify TSS including ~200 effector and immunity genes and applied it to ~15,000 publicly available human metagenomes. PolyProf alpha and beta diversity readily distinguished 12 different human disease states and enabled the construction of highly accurate linear regression classifier machine learning models. Elastic net machine learning models integrating bacterial taxonomy with PolyProf had strong predictive value for 12 disease states, outperforming models utilizing taxonomy alone. During microbiome development in the first year of life, PolyProf alpha diversity increases, and beta diversity becomes increasingly like the maternal microbiome, influenced by vertical transfer, delivery mode, and breastfeeding. PolyProf is related to strain sharing among adults through social interactions. In summary, TSS genes strongly correlate with microbiome development and interpersonal strain sharing, suggesting roles for interbacterial antagonism. Since PolyProf distinguishes diverse adult disease statuses, these dynamics may contribute to non-genetic inheritance.IMPORTANCEPrevious research has demonstrated that bacteria compete within the gut microbiome using toxin secretion systems (TSS). How TSS contribute to human microbiome development and the microbiome alterations observed in human diseases is not known. This study develops a new bioinformatic tool for profiling TSS-related genes in metagenomic data. Application of this approach to large-scale human fecal metagenomic data demonstrates the dynamic association of TSS during microbiome development, including the exchange of strains among social contacts. TSS gene abundance patterns are highly predictive of 12 disease states. This study advances the field by enabling TSS profiling in metagenomes and by identifying disease and microbiome development biomarkers that provide hypotheses for future mechanistic studies and may be useful for disease diagnosis.

Dysbiosis↗

PubMed2026

Lineage dynamics of invasive Escherichia coli isolates in the Netherlands from 1975 to 2021: a retrospective longitudinal genomic analysis.

BACKGROUND: Escherichia coli is a common cause of invasive infections such as bloodstream and cerebrospinal fluid infections in neonates. Strains positive for the K1 capsule are considered the most common cause of such neonatal invasive infections. This assumption of K1 dominance, and indeed the population genomics of E coli causing invasive infections in general is largely unstudied. We aimed to provide a comprehensive characterisation of this pathogen population using a longitudinal isolate collection. METHODS: In this analysis we report the findings of the SENTINEL study, a longitudinal genomic analysis of 1790 invasive E coli isolates collected mainly from newborns in the Netherlands between 1975 and 2021 by the Netherlands Reference Laboratory for Bacterial Meningitis, Amsterdam University Medical Centre, Amsterdam, Netherlands. The dataset included all bacterial strains cultured from cerebrospinal fluid or blood in cases of (clinical) bacterial meningitis (1976 to 1980). In 1981 the criteria were expanded to include neonates (aged ≤4 weeks) with E coli sepsis, and from July, 2016 all infants younger than 1 year with E coli sepsis were included. All isolates were sequenced using either the HiSeq 2500 or HiSeq 4000 platforms (Illumina, San Diego, CA, USA). We confirmed species and identified sequence types (STs), detected antimicrobial resistance genes, virulence genes, and the presence of K1 capsule, and characterised the dynamics of these factors over time. FINDINGS: Our data show a highly dynamic bacterial population that is entirely unaffected by antimicrobial resistance determinants. Key pathogen population fluctuations include the complete disappearance of the dominant lineage ST567 and the swapping of dominant ST95 clones from a single serotype O18:H7 clone to two distinct serotype O1:H7 clones, with changes in virulence factors including major fimbrial adhesins. These findings, combined with only 58·8% (1053 of 1790) prevalence in K1-expressing isolates in the entire study population, point to host-pathogen interaction and immune selection pressures as key drivers of bacterial population dynamics in this largely antimicrobial-naive population. INTERPRETATION: Our data show the vital need for ongoing genomic surveillance of microbial pathogen populations to guide appropriate intervention strategies. Additionally, genomic insights of a pathogen population from one specific disease syndrome or patient population cannot always be generalised across other cohorts. FUNDING: Wellcome Antimicrobial and Antimicrobial Resistance Doctoral Training Programme and the National Institute for Health and Care Research Birmingham Biomedical Research Centre.

Netherlands↗

PubMed2025

Diverse defense systems and prophages in human-associated Bifidobacterium species reveal coevolutionary "arms race" dynamics.

Bacteria of the genus Bifidobacterium are pivotal for human health, especially in early life, where they dominate the gut microbiome in healthy infants. Bacteriophages, as drivers of gut bacterial composition, can affect bifidobacterial abundance. Here, we use a bioinformatics approach to explore direct interactions between human-associated Bifidobacterium spp. and prophages, as evidenced by their genomes. Analysis of 1,086 bifidobacterial genomes reveals the presence of complex systems that prevent viral invasion, with 34 defense systems and 56 subtypes detected, including several different CRISPR-Cas systems. CRISPR spacers target almost three-quarters of bifidobacteria-derived prophages, indicating dynamic interactions. At least one prophage is present in ∼67% of strains, with phages exhibiting high genomic diversity and evidence of historical recombination. These prophages encode various defense and anti-defense systems, such as anti-CRISPR genes and restriction-modification mechanisms. Overall, this investigation reveals that coevolutionary "arms race" dynamics drive genomic diversity in both bifidobacteria and their phages.

Prophages↗

PubMed1977

Demonstration of enterobacterial common antigen by bacterial agglutination.

Potent antisera against the enterobacterial common antigen (ECA) agglutinate R bacteria of the Enterobacteriaceae family that possess unimpaired R-core structures of the Escherichia coli R1 or E. coli R4 core type. In these strains, known to be ECA immunogenic, ECA is most probably linked to the lipopolysaccharide R core. R mutants of other core types (e.g., Salmonella Ra, E. coli R2 or R3) or R mutants with incomplete core structures of the E. coli R1 type, as well as an rfaL mutant deficient in the O-translocase system, agglutinate to a much lesser extent or not at all. All the later mutants are nonimmunogenic; they possess the ECA in a free form, not linked to the R core. None of the S forms tested from many different enterobacterial genera was found to be agglutinable with the ECA antiserum. The dynamics of the ECA agglutinin formation in rabbits parallels the ECA hemagglutinin formation, indicating that the same antibody class might be involved in bacterial agglutination and hemagglutination.

Agglutination↗