SEARCH · PubMed Health

Results for “host:pathogen interactions”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 37 records · Page 2Linked to original sources

PubMed2026

Genomes of the ex-type strains of Elsinoë mangiferae and E. perseae, the causal agents of scab on mango and avocado.

Elsinoë species are slow-growing, hemibiotrophic to necrotrophic fungi that cause scab diseases on economically important fruit crops. Genome resources for many host-specific species remain limited. We report high-quality draft genome assemblies for the ex-type strains of Elsinoë mangiferae (CBS 226.50) and E. perseae (CBS 406.34), causal agents of mango and avocado scab, respectively. Among 5 approaches tested, a Nanopore-only NextDenovo assembly produced the most contiguous genomes, yielding 24.5 Mb (E. mangiferae) and 25.1 Mb (E. perseae) assemblies with 13 and 18 contigs, respectively, BUSCO completeness scores of ∼94%, and multiple putative telomere-to-telomere chromosomes. Gene prediction identified 9,134 and 9,243 genes, respectively. Functional annotation revealed enrichment of metabolic and regulatory pathways, including those involved in posttranslational modification, protein transport, and secondary metabolism. Carbohydrate-active enzyme repertoires were small but conserved, consistent with stealth pathogenicity strategies and low plant cell wall degradation. Both genomes encoded large secretomes (>850 proteins), diverse protease repertoires (>300 proteins), Ecp2-like effector proteins, and multiple biosynthetic gene clusters, including clusters with similarity to those associated with elsinochrome and ACT-toxin II biosynthesis, some of which may contribute to host-pathogen interactions and disease development. A large fraction of genes lacked functional characterization, suggesting incomplete databases and/or the presence of lineage-specific genes potentially involved in virulence or host adaptation. These genome resources fill critical gaps for underrepresented Elsinoë species and provide taxonomically anchored references essential for diagnostics, comparative genomics, and research into the molecular basis of host specificity and pathogenicity in scab-causing fungi.

Persea↗

PubMed2026

The Small Noncoding RNA, RsaC, Is Essential for Staphylococcus aureus Virulence.

BACKGROUND: Bacterial small noncoding RNAs (sRNAs) play critical roles in virulence, stress adaptation, and host-pathogen interactions. Transcriptomic analyses during infection can help reveal pathogen-derived sRNAs required for pathogenesis, providing valuable insights for the development of novel therapeutic strategies. However, the low abundance of pathogen biomass within the host tissues poses a significant challenge for such analyses. METHODS: We employed 2-step cell disruption to enrich Staphylococcus aureus cells from infected mouse organs and conducted RNA sequencing (RNA-seq) analysis to examine staphylococcal sRNAs expressed during infection. qRT-PCR was used to confirm the gene expression. A knockout mutant of highly expressed sRNA, RsaC, was generated, and RNA-seq under in vivo as well as in vitro aerobic and anaerobic conditions were compared between the wild-type and ΔrsaC strains. Virulence of S. aureus was assessed using both mouse and silkworm survival assays. RESULTS: We identified RsaC as one of the most highly expressed sRNAs in mouse organs with consistent increment over time postinfection. Through gene disruption and complementation, we demonstrated that RsaC is an independent virulence determinant required for full pathogenicity of S. aureus in a murine infection model. In addition, RsaC influenced gene expression in response to oxygen availability and host-associated stress. Further analysis revealed that mutation of 2 genes downregulated in ΔrsaC in vivo, NWMN_RS03420 (sodium: proton antiporter) and NWMN_RS12015 (hypothetical protein), reduced S. aureus virulence in a silkworm model. CONCLUSIONS: These findings identify RsaC as a novel independent virulence determinant that supports S. aureus adaptation within the host.

Animals↗

PubMed2026

Convergent evolution of immune evasion in ESKAPE pathogens: A cross-pathogen architecture of conserved host-defense checkpoints.

Antimicrobial resistance in ESKAPE pathogens is primarily attributed to resistance genes, yet persistent infections despite appropriate therapy implicate immune evasion as an independent driver of treatment failure. Although immune-evasion mechanisms have been extensively characterized in individual pathogens, their shared architecture across the ESKAPE group remains insufficiently integrated. This review synthesizes current evidence to show that phylogenetically diverse ESKAPE pathogens have convergently evolved conserved strategies to evade host immunity under comparable selective pressures. A cross-pathogen immune-evasion framework emerges, encompassing impaired pathogen recognition, complement inhibition, phagocyte dysfunction, immunometabolic reprogramming, biofilm-mediated protection, and persistence-promoting inflammation, together with pathogen-specific virulence mechanisms. These processes intersect with adaptive immune dysfunction and emerging concepts, including quorum-sensing-mediated immunomodulation, trained immunity, and the itaconate-succinate immunometabolic axis, forming an interconnected persistence network rather than isolated virulence traits. This systems-level perspective identifies conserved host-directed therapeutic targets that may complement conventional antimicrobial therapy across species. However, host-directed therapies, immunotherapeutics, and vaccines remain largely preclinical or have shown inconsistent clinical efficacy. Mechanistic evidence is strongest for Staphylococcus aureus, Pseudomonas aeruginosa, and Klebsiella pneumoniae, whereas substantial knowledge gaps persist for Enterococcus faecium, Acinetobacter baumannii, and Enterobacter spp. Overcoming persistent ESKAPE infections will require targeting conserved host-pathogen interactions alongside pathogen-specific antimicrobial resistance mechanisms.

Convergent immune evasion↗

PubMed2026

Functional mapping of the Trypanosoma cruzi serinome by fluorophosphonate activity-based protein profiling.

Serine hydrolases (SHs) constitute one of the largest enzyme superfamilies in eukaryotes, yet their roles in Trypanosoma cruzi, the causative agent of Chagas disease, remain largely uncharacterized. Here, we report an activity-based chemoproteomic map of the T. cruzi epimastigote serinome by combining genome-informed in silico curation with whole-cell activity-based protein profiling (ABPP) using a panel of cell-permeable fluorophosphonate (FP)-alkyne probes. Whole-cell labelling followed by label-free quantitative proteomics (LFQ-MS) identified 37 enriched SH-like proteins, including 35 with conserved or partially conserved catalytic triad/dyad features, spanning lipases, peptidases, esterases, and previously uncharacterized hydrolases. The 35 SHs represent approximately 63% of the 56 predicted SHs retained after catalytic-site curation. Domain architecture analysis revealed broad structural diversity, while orthologue-based localization data suggested association with multiple subcellular compartments, including glycosomal, mitochondrial, and endosomal localizations. Gene Ontology enrichment highlighted lipid metabolic and catabolic processes as dominant functional themes, and protein-protein interaction network analysis supported functional connectivity among the captured enzymes. Several identified SHs, including oligopeptidase B, prolyl oligopeptidase Tc80, serine carboxypeptidase CPB1, and phospholipase A1 (PLA1) have previously been characterized in trypanosomatids, with roles linked to parasite virulence or host-pathogen interactions. Together, these findings establish a fluorophosphonate-based chemoproteomic resource for the kinetoplastid community and prioritize probe-accessible active T. cruzi SHs for future functional validation and antiparasitic inhibitor discovery.

Activity-based protein profiling↗

PubMed2026

Distinct STRIPAK subunits drive conserved and subunit-specific signaling programs in Cryptococcus neoformans.

The striatin-interacting phosphatase and kinase (STRIPAK) complex is a conserved PP2A-associated signaling hub that integrates kinase-phosphatase networks, yet its roles in human fungal pathogens remain poorly defined. Here, we dissected STRIPAK functions in the opportunistic pathogen Cryptococcus neoformans by combining genetic, genomic, virulence, and phosphoproteomic analyses across mutants lacking individual STRIPAK subunits. Loss of the core STRIPAK components via PPH22, FAR8, FAR9, or FAR11 mutations caused severe defects in growth, stress adaptation, cell-cycle progression, and morphogenesis, accompanied by widespread aneuploidy and genome instability. In murine infection models, far11Δ strains were avirulent, whereas far9Δ mutants caused delayed but ultimately fatal disease and underwent host-associated genome remodeling, with recovered isolates exhibiting chromosome 11 amplification despite no consistent in vitro fitness advantage. In contrast, deletion of MOB3 produced a hypervirulent phenotype. mob3Δ cells exhibited enhanced transmigration across an in vitro blood-brain barrier model, increased survival in macrophages, and generated small-cell morphotypes, features associated with increased dissemination. Phosphoproteomic profiling revealed extensive and overlapping phosphorylation changes among core STRIPAK mutants, affecting pathways involved in signaling, cytoskeletal and cell-cycle control, chromatin regulation, RNA metabolism, and stress responses. Conversely, mob3Δ mutants displayed a smaller, largely distinct phosphoproteomic signature. Network and functional enrichment analyses highlighted STRIPAK-dependent regulation of TORC2-associated signaling, MAPK/GTPase signaling, autophagy, nuclear transport, RNA processing, DNA replication, and ribosome biogenesis. Together, these findings establish STRIPAK as a coordinator of genome stability, morphological plasticity, stress adaptation, and virulence in C. neoformans, and demonstrate that individual STRIPAK subunits drive shared yet divergent signaling outputs that shape host-pathogen interactions.

Journal Article↗

PubMed2026

Influence of Major Histocompatibility Complex (MHC) Diversity on Immune Modulation, Pathogenesis, and Control of Lumpy Skin Disease Virus.

INTRODUCTION: Lumpy Skin Disease Virus (LSDV), a member of the genus Capripoxvirus within the family Poxviridae, is an economically important transboundary viral pathogen affecting cattle and water buffalo. The disease causes severe production losses through decreased milk yield, infertility, hide damage, reduced growth performance, and occasional mortality. The rapid geographic spread of LSDV, together with its vectorborne transmission and emerging recombinant strains, has intensified the need for improved understanding of viral pathogenesis, host immune responses, and effective prevention strategies. In particular, the role of the bovine Major Histocompatibility Complex (BoLA/MHC) in regulating antiviral immunity, disease susceptibility, and vaccine responsiveness has gained increasing scientific attention. METHODS: This review summarises the published literature related to the epidemiology, transmission, structure, pathogenesis, diagnosis, prevention, and control of LSDV, with special emphasis on the immunological and molecular role of bovine MHC molecules. Relevant studies concerning BoLA-mediated antigen presentation, immunoinformaticsbased epitope prediction, vaccine development, antiviral drug repurposing, molecular docking, genomic surveillance, and diagnostic approaches, including PCR- and ELISAbased assays, were critically evaluated. Recent advances in computational biology, molecular virology, and host-pathogen interaction studies were also reviewed. RESULTS: The reviewed studies demonstrate that Lumpy Skin Disease Virus (LSDV) possesses a complex double-stranded DNA genome enabling immune modulation and efficient transmission through arthropod vectors such as mosquitoes, ticks, and biting flies. Disease progression involves systemic viral replication, vascular injury, dermal necrosis, and inflammatory skin lesions. Real-time PCR remains the most sensitive diagnostic method for early detection, while ELISA supports surveillance. Evidence highlights the central role of bovine Major Histocompatibility Complex (BoLA) molecules in antigen presentation and T-cell activation. Computational studies identified promising BoLA-binding epitopes and repurposed antiviral candidates, including ivermectin, theaflavin, canagliflozin, and tepotinib, for future therapeutic development. DISCUSSION: Current evidence indicates that effective LSDV control requires integration of molecular diagnostics, vector management, vaccination, and host immunogenetics. BoLAguided immunoinformatics provides promising opportunities for developing multi-epitope vaccines, although experimental validation remains essential. Similarly, repurposed antiviral candidates require comprehensive in vivo and pharmacological evaluation before clinical application. Future research should focus on elucidating viral immune-evasion mechanisms, validating predicted epitopes, and translating computational findings into practical vaccines and therapeutics for sustainable disease control. CONCLUSION: Lumpy Skin Disease continues to pose a major threat to global cattle health and livestock economies. Advances in molecular diagnostics, genomic surveillance, antiviral drug discovery, and BoLA-guided vaccine design provide promising opportunities for improved disease control. Understanding the interaction between LSDV and the bovine MHC system is essential for developing next-generation vaccines, immunotherapeutics, and precision disease-management strategies. Future research should prioritise experimental validation of predicted epitopes, large-scale vaccine trials, and mechanistic studies on host-virus immune interactions to establish effective and sustainable global control programs for LSDV.

BoLA↗

PubMed2026

Structure-resolved virus-host interactomics by cross-linking mass spectrometry.

Viruses depend on host protein networks to replicate, assemble progeny, and spread between cells and organisms. Defining these virus-host protein interactions is challenging because they are highly dependent on infection stage, cell type, species, and because mechanistic interpretation requires information about structural interfaces and conformational states. Cross-linking mass spectrometry (XL-MS) addresses these challenges by adding a spatial and structural dimension to virus-host interactomics in native systems. In this review, we discuss how XL-MS has advanced from targeted analysis of viral protein complexes to structure-resolved mapping of virion architecture and infected-cell virus-host interactomes. We highlight how XL-MS complements AP-MS, cryo-EM/cryo-ET, quantitative proteomics, genetic perturbation, and structure prediction to connect physical proximity with molecular mechanisms. Finally, we discuss current limitations in sensitivity, chemical coverage, temporal resolution, and model interpretation, and outline how future quantitative and integrative XL-MS workflows may enable systems-level structural virology.

Mass Spectrometry↗

PubMed2025

Foliar disease resistance phenomics of fungal pathogens: image-based approaches for mapping quantitative resistance in cereal germplasm.

Host plant resistance is the most effective and environmentally sustainable means of reducing yield losses caused by fungal foliar pathogens of cereal species. Cereal genebank collections hold diverse pools of potentially underutilized disease resistance alleles, and cereal genomic resources are well advanced due to large-scale sequencing and genotyping efforts. Genome-Wide Association Studies (GWAS) have emerged as the predominant association genetics technique to initially discover novel disease resistance loci or alleles in these diverse collections. Traditional disease resistance phenotyping methods are reliant on visual estimation of disease symptom severity and have successfully supported genetic mapping studies either via GWAS or QTL mapping in biparental populations facilitating both marker development and gene cloning efforts. Due to foliar pathogens having a high capacity to evolve, there is a need to pyramid disease resistance genes with diverse mechanisms for durable control. Resistance expressed as a quantitative trait, known as quantitative resistance (QR), is hypothesized to be more durable, unlike major R-gene resistance that is race-specific and can be vulnerable to breaking down without gene stewardship. However, assessing QR visually is challenging, particularly when complicated by complex genotype × environment (G × E) effects in the field. High-throughput image-based phenotyping provides accurate and unbiased data that can support foliar disease resistance screening efforts of genebank collections using GWAS. In this review, we discuss image-based disease phenotyping based on macroscopic (visible symptoms) and microscopic features during the host-pathogen interaction. Quantitative image analysis approaches using conventional and artificial intelligence (AI) algorithms are also discussed.

Disease Resistance↗

PubMed2026

Construction of circRNA-miRNA-mRNA regulatory networks in the intestine of turbot (Scophthalmus maximus) following Vibrio anguillarum infection.

Circular RNAs (circRNAs) play pivotal roles in post-transcriptional regulation by acting as molecular sponges for microRNAs (miRNAs) within the competitive endogenous RNA (ceRNA) network. However, the regulatory mechanisms in teleost immune responses remain poorly understood. In this study, circRNA-miRNA-mRNA networks were investigated in turbot (Scophthalmus maximus) following Vibrio anguillarum infection to elucidate host-pathogen interactions. Through high-throughput sequencing of intestinal tissues, a total of 50 differentially expressed circRNAs (DE-circRNAs) (18 at 2 hpi, 16 at 12 hpi, 16 at 48 hpi), 212 DE-miRNAs (11 at 2 hpi, 70 at 12 hpi, 15 at 48 hpi), and 1774 DE-mRNAs were identified. Functional enrichment analyses (GO/KEGG) revealed significant associations with immune pathways, including the MAPK signaling pathway and gap junction. An integrated circRNA-miRNA-mRNA regulatory network was constructed, highlighting key interactions including novel_circ_0002573/DE-miR-27a-3p/FGB and novel_circ_0002423/novel_347/GNE, which may regulate inflammatory and antibacterial responses. The expression patterns of selected circRNAs, miRNAs and mRNAs were validated using qRT-PCR, confirming the reliability of the sequencing results. Importantly, fibrinogen beta chain (FGB) and CXCR4/CXCL12 signaling were identified as critical immune modulators. These findings provide insights of the ceRNA regulatory networks involved in teleost intestinal immunity and provide potential molecular targets for selective breeding of disease resistance in this species.

Animals↗

PubMed2026

Transcriptomic analysis provides molecular insights into the innate immune defense of Mactra veneriformis against Vibrio alginolyticus infection.

Mactra veneriformis is an economically important bivalve mollusc in China, but its aquaculture is frequently threatened by Vibrio infections, particularly Vibrio alginolyticus. To investigate the molecular immune response of M. veneriformis to V. alginolyticus, we performed RNA-seq analysis of hepatopancreatic tissues collected at 48 h post-infection, the peak mortality time point, with PBS-injected individuals used as controls. Infection with V. alginolyticus caused severe histopathological damage in the hepatopancreas and resulted in a cumulative mortality of 53.3% over 14 d, compared with 3.3% in the control group. Transcriptomic analysis identified 2623 differentially expressed genes (DEGs), including 1585 significantly up-regulated genes and 1038 down-regulated genes. KEGG enrichment analysis demonstrated that DEGs were significantly enriched in immune related and metabolism pathways, including the JAK-STAT signaling pathway, RIG-I-like receptor (RLR) signaling pathway, and cytochrome P450 (CYP450) signaling pathway. Collectively, these findings revealed candidate immune related genes (tlr3, tlr5, myd88, nfkb1, il-17d, and ifi44l), a putative TLR-MyD88-NF-κB signaling axis, and KEGG signaling pathways, including JAK-STAT, RLR and CYP450, that may be involved in the innate immune response of M. veneriformis to V. alginolyticus infection. These results provide a transcriptomic basis for understanding host-pathogen interactions in this species and highlight candidate genes and pathways for future functional validation and potential application in disease-resistance breeding.

Animals↗

PubMed2026

The AAA+ chaperone ClpB contributes to stress tolerance and pathogenesis in Mycoplasma bovis.

ClpB, an ATP-dependent molecular chaperone belonging to the Hsp100/Clp subfamily of AAA+ ATPases, plays a crucial role in protein disaggregation, thereby enhancing bacterial survival under stress conditions. Despite its well-conserved function in prokaryotes, the specific contributions of ClpB to the pathogenesis of the ruminant pathogen Mycoplasma bovis remain largely unexplored. In this study, we identified and functionally characterized a ClpB homolog in M. bovis. Biochemical assays confirmed that the recombinant ClpB protein exhibits intrinsic ATPase activity and, in cooperation with the DnaK chaperone system, efficiently mediates protein disaggregation in vitro. Through genome-wide transposon mutagenesis of the M. bovis HB0801 strain, we generated ClpB-deficient mutants that maintained normal growth kinetics and morphology at 37 °C but exhibited significant growth defects under thermal and oxidative stress conditions. Phenotypic analysis demonstrated that ClpB disruption attenuated key virulence traits, including impaired adhesion to host cells, marked reduction in biofilm formation, diminished pro-inflammatory cytokines (IL-1β, IL-6, TNF-α) expression in BoMac cells. Furthermore, the reduced virulence of the ClpB mutant was investigated by DIA proteomic analyses, which revealed that the ClpB mutant strain altered distinct protein expression patterns related to proteostasis, including phosphotransferase system, serine-type peptidase activity, serine hydrolase activity, and chaperone-mediated protein folding that contribute to the stress response and virulence. These findings collectively demonstrate that ClpB serves as a multifunctional virulence determinant in M. bovis, orchestrating stress adaptation, host-pathogen interactions, and pathogenic potential through modulation of both protein quality control systems and virulence-associated pathways.

Mycoplasma bovis↗

PubMed2025

Invasive Streptococcus dysgalactiae subspecies equisimilis compared with Streptococcus pyogenes in Australia, 2011-23, and the emergence of a multi-continent stG62647 lineage: a retrospective clinical and genomic epidemiology study.

BACKGROUND: Streptococcus dysgalactiae subspecies equisimilis (SDSE) is closely related to Streptococcus pyogenes, with overlapping disease manifestations. We compared the clinical and genomic epidemiology of invasive SDSE with invasive S pyogenes across different settings in Australia and phylogenetically contextualised the SDSE sequences within a global cohort of genomes. METHODS: In this retrospective clinical and genomic epidemiology study, cases of invasive SDSE isolated from normally sterile sites were identified and whole-genome sequenced across five hospital networks in temperate southeast Australia (Melbourne and Sydney) and the tropical Top End of the Northern Territory. SDSE disease incidence, case demographics, clinical outcomes, and longitudinal lineage dynamics were compared between southeast Australia and the Top End and to co-collected invasive S pyogenes cases in each region. SDSE genomes and lineages were also contextualised within 1166 global SDSE sequences. Genomic transmission clusters (not necessarily direct transmission) were inferred between isolates from different individuals by single-linkage clustering at a single nucleotide polymorphism threshold of less than or equal to seven for SDSE and less than or equal to five for S pyogenes based on previous transmission analyses. FINDINGS: Between Jan 1, 2011, and Feb 28, 2023, there were 693 invasive SDSE cases and 995 invasive S pyogenes cases. Invasive SDSE occurred almost exclusively in adults. The overall invasive SDSE incidence in southeast Australia was similar to invasive S pyogenes (incidence rate ratio [IRR] 1·15, 95% CI 0·91-1·46; p=0·26) and increased over the study period (IRR 1·06 per year, 95% CI 1·05-1·08; p<0·0001) from 1·30 cases per 10 000 admissions in 2011 to 3·72 cases per 10 000 admissions in the first 2 months of 2023 (95% CI 2·13-6·07). In southeast Australia, where stringent COVID-19 non-pharmaceutical interventions (NPIs) were implemented between 2020 and 2021, the SDSE incidence plateaued during 2020-21 but did not significantly decline (IRR 1·09 compared with 2017-19, 95% CI 0·88-1·35; p=0·47). By contrast, S pyogenes incidence substantially declined in 2020-21 in southeast Australia (IRR 0·35 compared to 2017-19, 95% CI 0·22-0·52; p=0·017). In the Top End, SDSE incidence was lower than S pyogenes (IRR 0·24, 95% CI 0·19-0·31; p<0·0001). However, crude incidence remained higher than southeast Australia (crude IRR 1·24, 95% CI 1·07-1·42; p=0·0037) and disproportionately affected First Nations Australians in the Top End compared with non-First Nations individuals (IRR 3·36, 95% CI 2·33-4·85; p<0·0001). Comparing 2020-21 with 2017-19, there was no decline in SDSE (IRR 1·27, 95% CI 0·73-2·24; p=0·45) or S pyogenes (IRR 0·97, 95% CI 0·80-1·18; p=0·81) incidence in the Top End, which did not implement prolonged stringent COVID-19 NPIs. Analysing the available genomes of invasive cases and in lineages for which more than or equal to five invasive cases occurred, only 24 (6%) of 384 SDSE cases were assigned to genomic transmission clusters, compared with 271 (52%) of 524 S pyogenes cases. An stG62647 lineage encompassed 113 (26%) of 436 sequenced SDSE genomes. Analysis of available SDSE sequences from Australia, western Europe, and North America inferred concurrent international expansion of the stG62647 lineage in all three regions between 1990 and 2005. INTERPRETATION: We identified a substantial burden of invasive SDSE, dominated by the emergent stG62647 lineage. The contrasting epidemiology between species in the different Australian regions, during COVID-19 NPIs, and genomic infection patterns indicates transmission dynamic, pathogen population, and host-pathogen interaction differences between SDSE and S pyogenes and indicates implications for disease control measures. FUNDING: Australian National Health and Medical Research Council.

Humans↗

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↗

PubMed2026

Salmonella Pullorum strain SPullorum-YN-07 from dead embryos of Yanjin black-bone chickens: Complete genome with IncFII(S) and Col(pVC) plasmids and pathogenicity.

Salmonella Pullorum is a host-adapted pathogen that causes Pullorum disease in chickens and can be vertically transmitted via eggs, leading to embryonic mortality. The susceptibility and vertical transmission of S. Pullorum may vary among chicken breeds, yet genomic characterization of strains from dead embryos of indigenous breeds remains limited. This study isolated and characterized a Gram-negative short rod, designated Salmonella Pullorum strain SPullorum-YN-07, from dead embryos of Yanjin black-bone chickens, a native breed in Yunnan, China. The strain formed colorless colonies on MacConkey agar and red, non-H2S colonies on XLD agar, with biochemical reactions consistent with the genus Salmonella. Whole-genome sequencing using Illumina and PacBio platforms generated a complete genome consisting of one circular chromosome and four circular plasmids; plasmid replicon types IncFII(S) and Col(pVC) were identified in two of the plasmids. On the chromosome, a total of 340 virulence-associated genes were detected, including those involved in secretion systems, adhesion, motility, and immune modulation. Resistance gene analysis identified the acquired aminoglycoside resistance gene aac(6')-Iaa, alongside multiple intrinsic resistance determinants related to efflux pumps and target alteration. Multilocus sequence typing (MLST) assigned the strain to sequence type ST92, and core-genome phylogenetic analysis confirmed its clustering within the Salmonella Pullorum lineage. In a chick infection model, the strain induced depression, white diarrhea, and growth retardation, with clinical scores peaking at 10 days post-infection and a mortality rate of 10%. Bacterial colonization was highest in the cecum, and histopathological lesions were observed in the liver, spleen, and cecum. This study provides the first complete genomic characterization and pathogenicity assessment of an S. Pullorum strain isolated from dead embryos of Yanjin black-bone chickens, offering a foundation for understanding host-pathogen interactions in indigenous breeds and assessing cross-transmission risks to commercial poultry populations.

Complete genome↗

PubMed2026

Venomous Lepidoptera: defensive toxin systems, venom composition, and clinical significance.

Venomous Lepidoptera constitute an underrecognized yet medically significant group of toxin-producing arthropods that employ contact-mediated defensive envenomation through specialized integumentary structures such as setae, spines, and scoli. Unlike actively stinging arthropods, these insects deliver venom passively upon contact, eliciting a diverse spectrum of clinical manifestations collectively termed lepidopterism. Clinical outcomes range from localized pain and dermatitis to severe systemic effects, including hemorrhagic syndromes, complement activation, and chronic inflammatory disorders. Recent advances in proteomic and transcriptomic technologies have transformed our understanding of lepidopteran venoms, revealing unexpectedly complex toxin repertoires comprising serine proteases, phospholipases, pore-forming proteins, disulfide-rich peptides, neuroactive RF-amide peptides, and immune-modulating components. These findings have provided new insights into the molecular basis of toxicity, host-pathogen interactions, and the evolutionary diversification of venom systems within Lepidoptera. This review synthesizes current knowledge on the morphology of venom-delivery structures, venom composition, mechanisms of action, and associated clinical manifestations, while highlighting medically important taxa, particularly species of the genus Lonomia. The successful development of antivenom against Lonomia envenomation underscores the translational relevance of lepidopteran toxin research and its potential for therapeutic innovation. By integrating molecular, clinical, and evolutionary perspectives, this review repositions venomous Lepidoptera as a legitimate and important component of arthropod toxinology. Furthermore, it identifies critical methodological limitations and key knowledge gaps, providing a framework for future investigations aimed at advancing our understanding of toxin biology, immunopathology, and the development of novel biomedical applications.

Animals↗

PubMed2025

Active- and Allosteric-Site Cyclic Peptide Inhibitors of Secreted M. tuberculosis Chorismate Mutase.

The secreted Chorismate mutase enzyme of Mycobacterium tuberculosis (*MtbCM) is an underexplored potential target for the development of new antitubercular agents that are increasingly needed as antibiotic resistance rises in prevalence. As an enzyme suspected to be involved in virulence and host-pathogen interactions, disruption of its function could circumvent the difficulty of treating tuberculosis-infected granulomas. Drug development, however, is limited by novel ligand discovery. Currently, *MtbCM activity is measured by using a low throughput acid/base-mediated product derivatization absorbance assay. Here, we utilized an RNA-display affinity selection approach enabled by the Random Peptides Integrated Discovery (RaPID) system to screen a vast library of macrocyclic peptides (MCP) for novel *MtbCM ligands. Peptides identified from the RaPID selection, and analogs thereof identified by analyzing the selection population dynamics, produced a new class of *MtbCM inhibiting MCPs. Among these were two noteworthy "chorismides", whose binding modes were elucidated by X-ray crystallography. Both were potent inhibitors of the CM enzyme activity. One was identified as an allosteric binding peptide revealing a novel inhibition approach, while the other is an active-site binding peptide that when conjugated to a fluorescent probe allowed for the development of a series of alternative fluorescence-based ligand-displacement assays that can be utilized for the assessment of potential *MtbCM inhibitors.

Mycobacterium tuberculosis↗

PubMed2026

Uncovering the genomic landscape of Mycobacterium bovis in Wales.

Bovine tuberculosis (bTB), caused by the bacterium Mycobacterium bovis, is one of the most pressing animal health issues in Wales today. It negatively impacts cattle health, affects profitability and trade, and can decimate years of genetic improvement towards desirable production traits. It also imposes substantial financial, social, and psychological burdens on farming communities. Eradication of bTB requires an understanding of local transmission pathways to target effective disease-control interventions. In this study, we characterised the genomic diversity of M. bovis across Wales by analysing the genome sequence of 379 M. bovis isolates obtained from culture-positive animals in Wales in 2021. Analyses uncovered three prevalent clusters that are geographically distinct. A further three clusters containing fewer isolates were also geographically separated, two of which had particularly large SNP distances from most other Welsh isolates, suggesting independent introductions of M. bovis strains that are not endemic to Wales. Fine-scale and epidemiologically relevant genetic structuring was identified within the six main clusters, indicating region-specific evolution, which can drive local disease dynamics. Finally, SNPs were identified in coding genes that have the potential for important advantageous physiological consequences that may impact host-pathogen interactions and necessitate further investigation.

Animals↗

PubMed2026

Mössbauer spectroscopy in drug discovery: revealing Fe- and Fe-S cluster dependent targets.

INTRODUCTION: Iron- and iron-sulfur cluster (Fe-S)-containing proteins are essential for diverse biological processes, including electron transfer, genome maintenance, metabolism, cellular signaling, and host-pathogen interactions. Despite their broad biological importance and growing links to human disease, Fe-S cluster-dependent proteins remain underexplored as therapeutic targets, largely because it is difficult to define their metal-dependent chemistry using conventional biochemical, spectroscopic, and structural approaches. AREAS COVERED: This review examines how Mössbauer spectroscopy can be integrated into workflows for metalloprotein characterization, target validation, and drug discovery. Using representative Fe-S cluster-containing proteins, the practical considerations for implementing Mössbauer spectroscopy are outlined, including 57Fe-enriched expression, sample preparation, and spectroscopic analysis. Two case studies of experimentally challenging viral Fe-S cluster proteins are then highlighted, the Hepatitis B virus X protein and the Porcine Reproductive and Respiratory Syndrome Virus Nsp1α protease, which demonstrate how direct characterization of metal cofactors can reveal previously unrecognized therapeutic avenues. Relevant literature published through March 2026 was identified using PubMed and Google Scholar with keywords related to Mössbauer spectroscopy, iron-sulfur proteins, viral metalloproteins, and drug discovery. EXPERT OPINION: As drug discovery increasingly seeks to exploit metal-dependent biology, Mössbauer spectroscopy will play an important role in identifying cryptic metalloproteins, defining their native states, and uncovering Fe- and Fe-S cluster-dependent targets. Mössbauer spectroscopy can also be complementary, and integrated with structural and AI-driven approaches to answer emerging challenges in medicinal chemistry.

Humans↗