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PubMed2026

Dynamic metabolic modelling of ATP allocation during viral infection.

Viral pathogens, like SARS-CoV-2, hijack the host's macromolecular production machinery, imposing an energetic burden that is distributed across cellular metabolism. To explore the dynamic metabolic tension between the host's survival and viral replication, we developed a computational framework that uses genome-scale models to perform dynamic flux balance analysis of human cell metabolism during virus infections. Relative to previous models, our framework addresses the physiology of viral infections of non-proliferating host cells through two new features. First, by incorporating the lipid content of SARS-CoV-2 biomass, we discovered activation of previously overlooked pathways giving rise to new predictions of possible drug targets. Furthermore, we introduce a dynamic model that simulates the partitioning of resources between the virus and the host cell, capturing the extent to which the competition depletes the human cells from essential ATP. By incorporating viral dynamics into our COMETS framework for spatio-temporal modelling of metabolism, we provide a mechanistic, dynamic and generalizable starting point for bridging systems biology modelling with viral pathogenesis. This framework could be extended to broadly incorporate phage dynamics in microbial systems and ecosystems.

Humans↗

PubMed2025

In silico prediction method for plant Nucleotide-binding leucine-rich repeat- and pathogen effector interactions.

Plant Nucleotide-binding leucine-rich repeat (NLR) proteins play a crucial role in effector recognition and activation of Effector triggered immunity following pathogen infection. Genome sequencing advancements have led to the identification of a myriad of NLRs in numerous agriculturally important plant species. However, deciphering which NLRs recognize specific pathogen effectors remains challenging. Predicting NLR-effector interactions in silico will provide a more targeted approach for experimental validation, critical for elucidating function, and advancing our understanding of NLR-triggered immunity. In this study, NLR-effector protein complex structures were predicted using AlphaFold2-Multimer for all experimentally validated NLR-effector interactions reported in literature. Binding affinities- and energies were predicted using 97 machine learning models from Area-Affinity. We show that AlphaFold2-Multimer predicted structures have acceptable accuracy and can be used to investigate NLR-effector interactions in silico. Binding affinities for 58 NLR-effector complexes ranged between -8.5 and -10.6 log(K), and binding energies between -11.8 and -14.4 kcal/mol-1, depending on the Area-Affinity model used. For 2427 "forced" NLR-effector complexes, these estimates showed larger variability, enabling identification of novel NLR-effector interactions with 99% accuracy using an Ensemble machine learning model. The narrow range of binding energies- and affinities for "true" interactions suggest a specific change in Gibbs free energy, and thus conformational change, is required for NLR activation. This is the first study to provide a method for predicting NLR-effector interactions, applicable to all pathosystems. Finally, the NLR-Effector Interaction Classification (NEIC) resource can streamline research efforts by identifying NLRs important for plant-pathogen resistance, advancing our understanding of plant immunity.

Plant Proteins↗

PubMed2025

Evolution of antiviral host defenses against a backdrop of endogenous retroelements.

Mammalian hosts deploy a multitude of germ line-encoded mechanisms to detect and restrict virus infection. These mechanisms must avoid pathological responses to endogenous retroviruses and other endogenous retrotransposable elements (RTEs)-viruses and viruslike genomic parasites that have invaded the host germ line and are passed down the generations as host genes. Although the location, specificity, and sensitivity of innate pattern recognition receptors and restriction factors are tuned to facilitate discrimination of infecting viruses from those that are part of self, immune cross-reactions do occur. The RTE viral heritage may, therefore, compromise the ability of the host to respond to virus infection without risking pathology. Nevertheless, RTEs have the potential to be co-opted as an alarm amplification system, to be repurposed as antiviral factors, and to contribute to the evolution of antiviral genes.

Animals↗

PubMed2025

Dysregulation of lung epithelial cell homeostasis and immunity contributes to Middle East respiratory syndrome coronavirus disease severity.

Coronaviruses (CoV) emerge suddenly from animal reservoirs to cause novel diseases in new hosts. Discovered in 2012, the Middle East respiratory syndrome coronavirus (MERS-CoV) is endemic in camels in the Middle East and is continually causing local outbreaks and epidemics. While all three newly emerging human CoVs from the past 20 years (SARS-CoV, SARS-CoV-2, and MERS-CoV) cause respiratory disease, each CoV has unique host interactions that drive differential pathogeneses. To better understand the virus and host interactions driving lethal MERS-CoV infection, we performed a longitudinal multi-omics analysis of sublethal and lethal MERS-CoV infection in mice. Significant differences were observed in body weight loss, virus titers, and acute lung injury among lethal and sub-lethal virus doses. Virus-induced apoptosis of type I and II alveolar epithelial cells suggests that loss or dysregulation of these key cell populations was a major driver of severe disease. Omics analysis suggested differential pathogenesis was multi-factorial with clear differences among innate and adaptive immune pathways as well as those that regulate lung epithelial homeostasis. Infection of mice lacking functional T and B cells showed that adaptive immunity was important in controlling viral replication but also increased pathogenesis. In summary, we provide a high-resolution host response atlas for MERS-CoV infection and disease severity. Multi-omics studies of viral pathogenesis offer a unique opportunity to not only better understand the molecular mechanisms of disease but also to identify genes and pathways that can be exploited for therapeutic intervention all of which is important for our future pandemic preparedness.IMPORTANCEEmerging coronaviruses like SARS-CoV, SARS-CoV-2, and MERS-CoV cause a range of disease outcomes in humans from an asymptomatic, moderate, and severe respiratory disease that can progress to death but the factors causing these disparate outcomes remain unclear. Understanding host responses to mild and life-threatening infections provides insight into virus-host networks within and across organ systems that contribute to disease outcomes. We used multi-omics approaches to comprehensively define the host response to moderate and severe MERS-CoV infection. Severe respiratory disease was associated with dysregulation of the immune response. Key lung epithelial cell populations that are essential for lung function get infected and die. Mice lacking key immune cell populations experienced greater virus replication but decreased disease severity implicating the immune system in both protective and pathogenic roles in response to MERS-CoV. These data could be utilized to design new therapeutic strategies targeting specific pathways that contribute to severe disease.

Animals↗

PubMed2025

Exploring phage-host interactions in Burkholderia cepacia complex bacterium to reveal host factors and phage resistance genes using CRISPRi functional genomics and transcriptomics.

Complex interactions of bacteriophages with their bacterial hosts determine phage host range and infectivity. While phage defense systems and host factors have been identified in model bacteria, they remain challenging to predict in non-model bacteria. In this paper, we integrate functional genomics and transcriptomics to investigate phage-host interactions, revealing active phage resistance and host factor genes in Burkholderia cenocepacia K56-2. Burkholderia cepacia complex species are commonly found in soil and are opportunistic pathogens in immunocompromised patients. We studied infection of B. cenocepacia K56-2 with Bcep176, a temperate phage isolated from Burkholderia multivorans. A genome-wide dCas9 knockdown library targeting B. cenocepacia K56-2 was constructed, and a pooled infection experiment identified 63 novel genes or operons coding for candidate host factors or phage resistance genes. The activities of a subset of candidate host factor and resistance genes were validated via single-gene knockdowns. Transcriptomics of B. cenocepacia K56-2 during Bcep176 infection revealed that expression of genes coding for host factor and resistance candidates identified in this screen was significantly altered during infection by 4 h post-infection. Identifying which bacterial genes are involved in phage infection is important to understand the ecological niches of B. cenocepacia and its phages, and for designing phage therapies.IMPORTANCEBurkholderia cepacia complex bacteria are opportunistic pathogens inherently resistant to antibiotics, and phage therapy is a promising alternative treatment for chronically infected patients. Burkholderia bacteria are also ubiquitous in soil microbiomes. To develop improved phage therapies for pathogenic Burkholderia bacteria, or engineer phages for applications, such as microbiome editing, it's essential to know the bacterial host factors required by the phage to kill bacteria, as well as how the bacteria prevent phage infection. This work identified 65 genes involved in phage-host interactions in Burkholderia cenocepacia K56-2 and tracked their expression during infection. These findings establish a knowledge base to select and engineer phages infecting or transducing Burkholderia bacteria.

Bacteriophages↗

PubMed2026

Time-resolved mapping in calves reveals bovine herpesvirus 1 shift from mucosal replication to trigeminal ganglion neuroinvasion with promyelocytic leukemia protein-centered host-virus antagonism.

Although bovine herpesvirus 1 (BoHV-1) causes massive losses of cattle, the transition from mucosal replication to neuroinvasion remains poorly understood. Using a controlled calf model, we integrated quantitative virology and transcriptomics to map its pathogenesis and define the role of promyelocytic leukemia protein (PML). Calves inoculated intranasally and ocularly (1.4 × 106 plaque-forming units/head) were sampled daily (1-14 days post-infection, dpi) for glycoprotein B (gB) qPCR. Tissues were analyzed at 4 and 14 dpi to measure viral DNA via gB-specific qPCR, and for mRNA-seq of trigeminal ganglia (TG). Shedding peaked at 3-6 dpi, being highest in nasal samples, lower in ocular samples, and substantially lower in rectal samples, and declined by 10-14 dpi. At 4 dpi, among the tissues sampled, the tonsils exhibited the highest viral burden. TG exhibited low viral levels at 4 dpi, although they remained detectable at 14 dpi, indicating neuroinvasion. The TG program shifted from early proteostasis priming (4 dpi) to immune/extracellular matrix activation with synaptic repression (14 dpi). In MDBK/Vero cells, IFN-α resulted in higher bovine PML (bPML) levels and enlarged PML nuclear bodies (PML-NBs), reducing very early viral DNA levels, whereas BoHV-1 disrupted PML-NB integrity. The different bPML isoforms exerted different effects on viral infection. STRING analysis revealed a conserved PML-SUMO1-UBE2I-DAXX-SP100 core. These findings delineate the mucosal-to-neuronal trajectory, establish PML as both an effector and viral target in complementary in vitro systems, and identify SUMO/ubiquitin-linked proteostasis as a tractable target for antiviral intervention.IMPORTANCEAlthough bovine herpesvirus 1 (BoHV-1) remains a major challenge to cattle health, the early transition from mucosal replication to trigeminal neuroinvasion has not been clearly mapped in natural-host calves. By integrating daily shedding kinetics, tissue viral DNA profiling, and time-resolved trigeminal ganglion transcriptomics, we delineate when and how BoHV-1 reaches the sensory neurons. Promyelocytic leukemia protein (PML) is identified as a key intrinsic antiviral factor that is upregulated by IFN-α and restricts very early viral genome accumulation, while viral BoHV-1-encoded infected cell protein 0 actively dismantles PML nuclear bodies. The discovery of opposing isoform-specific PML functions and a conserved PML-SUMO proteostasis hub provides mechanistic insight into BoHV-1 immune evasion. These findings refine our understanding of the mucosal-to-neuronal trajectory of infection and highlight proteostasis-linked antiviral pathways as promising targets for intervention.

Animals↗

PubMed2026

TALEs, TALENs, and TALE Base Editors: From Plant Pathology to Biotechnology.

TALEs (transcription activator-like effectors) are an excellent example of how studying pathogen-host interactions can lead to significant biotechnology inventions. TALEs are bacterial effectors that are translocated into plant cells via a bacterial type III secretion system. Once inside the host cell, they are imported into the nucleus to bind specific promoters and induce expression of target genes, thereby supporting the bacterial infection. TALEs are found throughout many, but not all, Xanthomonas pathovars, which can be severe pathogens of different crops. The key feature of TALEs is their modular DNA-binding domain, which allows a simple evolutionary adaptation to novel DNA sequences as well as simple cloning of designer TALEs with desired DNA-binding specificity. Accordingly, TALE nucleases started the genome-editing revolution, and TALE base editors are the latest tools to efficiently edit chloroplast and mitochondrial genomes. We review recent advances in Xanthomonas genomics, synthesize current knowledge about naturally occurring TALEs, and highlight current roles of TALEs in genome editing and synthetic biology.

Xanthomonas↗

PubMed2026

Shining Light on Late Blight.

In this retrospective on my journey in science, I shine light on the ins and outs of the late blight pathogen Phytophthora infestans. While studying plant pathology, I became fascinated by the molecular mechanisms that govern the development of cells and organisms and ended up unraveling intimate plant-microbe interactions. I have been fortunate to work in an inspiring environment and with committed coworkers. I am proud of what we achieved as a team. By digging into the biology of Phytophthora and exploring genomes and pathogenicity mechanisms, we uncovered a treasure trove of novelties and peculiarities that offer ample opportunities for designing pathogen-informed control strategies.

Plant Diseases↗

PubMed2026

Tree Killer, Qu'est-ce Que C'est? Insights From Forest Pathogen Genomes.

Forests are central to planetary health but are increasingly challenged by emerging diseases driven by climate change, global trade, and anthropogenic disturbance. Despite the apparent resilience of long-lived, genetically diverse tree hosts, forest ecosystems have repeatedly experienced landscape-level pathogen-driven transformations. Advances in genomics, transcriptomics, and functional biology have transformed our understanding of how fungal and oomycete pathogens interact with their hosts across a continuum of lifestyles, from saprotrophy and necrotrophy to biotrophy. Here, we synthesize insights from comparative and population genomics and functional studies across diverse forest pathosystems to examine the traits that characterize successful tree pathogens. We highlight how lifestyle plasticity, adaptations to woody tissues, vector-mediated transmission, and biotrophic stealth enable pathogens to colonize perennial hosts and persist over long temporal scales. We further examine how genome plasticity, hybridization, and horizontal gene transfer generate adaptive potential that often outpaces host evolutionary responses under current environmental change. Finally, we discuss emerging genomic tools, including biosurveillance, machine learning-based classification, and genome editing, that are beginning to link genotype to phenotype and inform assessments of disease risk. By integrating genomic, ecological, and evolutionary perspectives, this review outlines general principles governing forest pathogen success and identifies priorities for future research aimed at improving understanding, early detection, and management of forest diseases in a changing world.

Trees↗

PubMed2026

Disentangling host genetic variation for avoidance and resistance to pathogens.

BACKGROUND: Hosts can use avoidance (e.g., behavior) to reduce their contact rates with pathogens; after contact, they can use resistance (e.g., immunity) to reduce the establishment and proliferation of an infection. Because both defenses preserve host fitness and reduce pathogen fitness, we expect that their epidemiological and evolutionary effects will be interdependent. This study used a two-locus model to understand the evolution of allelic associations (i.e., linkage disequilibrium or LD) between genes determining levels of avoidance and resistance in the presence of an infectious disease or a parasite. RESULTS: We found that polymorphism in both avoidance and resistance was possible, but only for a limited range of parameter values. At equilibrium within these polymorphic populations, avoidance and resistance alleles were negatively associated (i.e., in negative LD). However, most commonly, polymorphism was only stably maintained at one defense locus, and the other locus became fixed for one allele. CONCLUSIONS: The model shows that avoidance and resistance are likely to influence each other's evolution because of their joint effects on infection and their costs; however, predictions about their relationship are not necessarily straightforward or intuitive. For example, avoidance and resistance may be more likely to covary across than within populations.

Animals↗

PubMed2025

Integrative oral and gut microbiome profiling highlights microbial correlates of complications in type 1 diabetes: a cross-sectional analysis.

BACKGROUND/OBJECTIVE: Chronic vascular complications are the primary threat in long-standing type 1 diabetes (T1D) patients. We examined the associations between oral-gut microbiome dysbiosis and these complications, offering novel insights into therapeutic strategies and underlying mechanisms. METHODS: This cross-sectional study enrolled 75 T1D participants (disease duration ≥ 10 years) and 43 healthy controls who underwent comprehensive clinical assessment, including blood glucose, lipid profile, and complication-related examinations. Fecal and oral rinse samples were collected for shotgun metagenomic sequencing. T1D participants were stratified by the presence of microvascular (retinopathy, nephropathy, or neuropathy) or macrovascular complications separately. Microbial differences across groups were assessed. RESULTS: Significant differences in oral and gut microbiota compositions were observed between T1D participants with and without complications (both microvascular and macrovascular). A core set of 26 gut and 8 oral microbial species was specifically associated with vascular complications. Butyrate-producing gut bacteria (Blautia wexlerae, Anaerobutyricum hallii, Roseburia inulinivorans, A. soehngenii) and specific oral Neisseria species were enriched in T1D without complications individuals, suggesting protective effects against complications. Mediation analysis indicated associations consistent with partial mediation between certain microbial species and the relationships of glycemic control or insulin resistance (HbA1c, glucose risk index, estimated glucose disposal rate) with complication risk. Moreover, potential oral-gut microbiome interconnections were implicated in complication development. Finally, classification models integrating both oral and gut microbial features significantly outperformed models based on either site alone in distinguishing T1D patients with complications. CONCLUSIONS: Distinct oral and gut microbiome features are associated with chronic vascular complications in T1D. These findings highlight the potential of microbiome-targeted strategies for understanding and preventing T1D-related complications.

Humans↗

PubMed2025

Experimental evolution of a pathogen confronted with innate immune memory increases variation in virulence.

Understanding the drivers and mechanisms of virulence evolution is still a major goal of evolutionary biologists and epidemiologists. Theory predicts that the way virulence evolves depends on the balance between the benefits and costs it provides to pathogen fitness. Additionally, host responses to infections, such as resistance or tolerance, play a critical role in shaping virulence evolution. But, while the evolution of pathogens has been traditionally studied under the selection pressure of host adaptive immunity, less is known about their evolution when confronted to simpler and less effective forms of immunity such as immune priming. In this study, we used a well-established insect model for immune priming - red flour beetles and their bacterial pathogen Bacillus thuringiensis tenebrionis - to test how this form of innate immune memory drives the pathogen evolution. Through controlled experimental evolution of the pathogen in primed versus non-primed hosts, we found no change in average virulence after eight selection cycles in primed host. Nonetheless, we observed a notable rise in the variability of virulence, defined as the ability to kill hosts, among independent pathogen lines that evolved in primed hosts, and the bacteria were unable to develop resistance to host priming. Whole genome sequencing revealed increased activity in the bacterial mobilome (prophages and plasmids). Expression of the Cry toxin - a well-known virulence factor - was linked to evolved differences in copy number variation of the cry-carrying plasmid, though this did not correlate directly with virulence. These findings highlight that innate immune memory can drive variability in pathogen traits, which may favor adaptation to variable environments. This underscores the need to consider pathogen evolution in response to innate immune memory when applying these mechanisms in medicine, aquaculture, pest control, and insect mass production.

Animals↗

PubMed2025

Order among chaos: High throughput MYCroplanters can distinguish interacting drivers of host infection in a highly stochastic system.

The likelihood that a host will be susceptible to infection is influenced by the interaction of diverse biotic and abiotic factors. As a result, substantial experimental replication and scalability are required to identify the contributions of and interactions between the host, the environment, and biotic factors such as the microbiome. For example, pathogen infection success is known to vary by host genotype, bacterial strain identity and dose, and pathogen dose. Elucidating the interactions between these factors in vivo has been challenging because testing combinations of these variables quickly becomes experimentally intractable. Here, we describe a novel high throughput plant growth system (MYCroplanters) to test how multiple host, non-pathogenic bacteria, and pathogen variables predict host health. Using an Arabidopsis-Pseudomonas host-microbe model, we found that host genotype and bacterial strain order of arrival predict host susceptibility to infection, but pathogen and non-pathogenic bacterial dose can overwhelm these effects. Host susceptibility to infection is therefore driven by complex interactions between multiple factors that can both mask and compensate for each other. However, regardless of host or inoculation conditions, the ratio of pathogen to non-pathogen emerged as a consistent correlate of disease. Our results demonstrate that high-throughput tools like MYCroplanters can isolate interacting drivers of host susceptibility to disease. Increasing the scale at which we can screen drivers of disease, such as microbiome community structure, will facilitate both disease predictions and treatments for medicine and agricultural applications.

Arabidopsis↗

PubMed2025

Diversification, loss, and virulence gains of the major effector AvrStb6 during continental spread of the wheat pathogen Zymoseptoria tritici.

Interactions between plant pathogens and their hosts are highly dynamic and mainly driven by pathogen effectors and plant receptors. Host-pathogen co-evolution can cause rapid diversification or loss of pathogen genes encoding host-exposed proteins. The molecular mechanisms that underpin such sequence dynamics remains poorly investigated at the scale of entire pathogen species. Here, we focus on AvrStb6, a major effector of the global wheat pathogen Zymoseptoria tritici, evolving in response to the cognate receptor Stb6, a resistance widely deployed in wheat. We comprehensively captured effector gene evolution by analyzing a global thousand-genome panel using reference-free sequence analyses. We found that AvrStb6 has diversified into 59 protein isoforms with a strong association to the pathogen spreading to new continents. Across Europe, we found the strongest differentiation of the effector consistent with high rates of Stb6 deployment. The AvrStb6 locus showed also a remarkable diversification in transposable element content with specific expansion patterns across the globe. We detected AvrStb6 gene losses and evidence for transposable element-mediated disruptions. We used virulence datasets of genome-wide association mapping studies to predict virulence changes across the global panel. Genomic predictions suggested marked increases in virulence on Stb6 cultivars concomitant with the spread of the pathogen to Europe and the subsequent spread to further continents. Finally, we genotyped French bread wheat cultivars for Stb6 and monitored resistant cultivar deployment concomitant with AvrStb6 evolution. Taken together, our data provides a comprehensive view of how a rapidly diversifying effector locus can undergo large-scale sequence changes concomitant with gains in virulence on resistant cultivars. The analyses highlight also the need for large-scale pathogen sequencing panels to assess the durability of resistance genes and improve the sustainability of deployment strategies.

Ascomycota↗

PubMed2025

Influenza A virus RNA localisation and the interceding trafficking pathways of the host cell.

Viruses have evolved to efficiently navigate host cells to deliver, express, and replicate their genetic material. Understanding the mechanisms underlying viral RNA localisation is paramount to designing new antivirals. In this review, we discuss Influenza A Virus (IAV) as a model system to highlight some of the ways in which RNA viruses can hijack the endomembrane systems, as well as nuclear transporters, to achieve the correct localisation of their transcripts. IAV exemplifies a nuclear-replicating RNA virus with a complex and highly regulated RNA localisation and trafficking system within host cells. The virus subverts various vesicular transport systems and nuclear transporters, altering normal cellular functions. IAV RNA trafficking begins during entry; after clathrin-mediated endocytosis, the viral genome (vRNPs) is released into the cytosol after fusion with the endosomal membrane, and it is subsequently imported into the nucleus via the importin system. There, vRNPs engage with most major subnuclear structures and exploit host chromatin, the transcription machinery and splicing apparatus to achieve efficient viral mRNA synthesis and export. Subsequently, newly synthesised vRNPs are rapidly exported from the nucleus and contact the host's recycling endosome network for transport to the plasma membrane. We discuss the critical viral remodelling of the entire endomembrane system, particularly the Rab11 recycling endosome and the endoplasmic reticulum. Lastly, replicated genomes come together into bundles to be inserted in budding virions, and we discuss the current models being proposed and the evidence behind them. Despite advances in understanding these processes, several knowledge gaps remain, particularly regarding the specific export of unspliced IAV transcripts, the remodelling of the endomembrane system, and segment bundling.

Humans↗

PubMed2025

EV-D68 cleaves LARP1 and PABPC1 by 3Cpro to redirect host mRNA translation machinery toward its genomic RNA.

Enterovirus D68 (EV-D68) is an emerging pathogen associated with severe respiratory diseases and neurological complications, such as acute flaccid myelitis. EV-D68 has developed sophisticated mechanisms to hijack host translation machinery, facilitating its replication and impairing host mRNA translation. In this study, we demonstrate that EV-D68 cleaves La-related protein 1 (LARP1) and poly(A)-binding protein cytoplasmic 1 (PABPC1) through its proteases 3Cpro and 2Apro. Our results indicate that overexpressing LARP1 and PABPC1 significantly inhibits EV-D68 replication and reduces the virus-mediated suppression of host translation. While both LARP1 and PABPC1 regulate translation, they exert antiviral effects through distinct mechanisms. We found that LARP1 interacts with the 5'UTR of EV-D68 RNA through its LAM domain, and this interaction is crucial for its antiviral function. LARP1 translation modulation is also influenced by the mTOR and CDK1 signaling pathways. Viral infection inhibits mTOR and CDK1 phosphorylation, which enhances LARP1's binding to viral RNA and inhibits viral translation. To counteract this inhibition, EV-D68 cleaves LARP1 through 3Cpro, thereby promoting efficient viral translation. We also investigated other enteroviruses, such as EV-A71 and CV-A16, which similarly target LARP1 and PABPC1, indicating a conserved mechanism across enteroviruses. Our findings offer new insights into how EV-D68 manipulates host translation and highlight the potential of targeting LARP1 and PABPC1 for antiviral interventions.

Humans↗

PubMed2025

Polysaccharide synthesis operon modulates Rickettsia-endothelial cell interactions.

Pathogenic Rickettsia species target vascular endothelial cells and cause systemic vasculitis. As obligate intracellular bacterial pathogens, Rickettsia must secure nutritional resources within the cytoplasm of endothelial cells while simultaneously subverting the innate immune defense system. With advances in rickettsial and host genetics, recent studies have identified novel molecular mechanisms involved in the complex interactions between Rickettsia and endothelial cells. However, it remains unclear how Rickettsia shields pathogen-derived immune stimulants, such as lipopolysaccharides (LPS) and peptidoglycan fragments, from immune recognition during intracellular replication. Prior work described two Rickettsia conorii variants with kkaebi transposon insertions in the polysaccharide synthesis operon (pso). Biochemical and immunological analyses revealed that pso is responsible for the biosynthesis of O-antigen (O-Ag) and the proper assembly of surface proteins. In the present work, we document that pso variant HK2 exhibits reduced capacities to adhere to and invade microvascular endothelial cells. Despite the low intracellular abundance, HK2 induced significantly higher levels of proinflammatory cytokines and chemokines, leading to premature cell death. Notably, HK2 exhibited defective intracellular survival in bone marrow-derived macrophages. This inability to dampen endothelial cell-mediated immune stimulation and resist macrophage-induced bactericidal activities resulted in the rapid elimination of viable Rickettsia in the mouse model of spotted fever. Further, when tested as a live-attenuated vaccine, HK2 elicited robust protective immunity against lethal spotted fever pathogenesis. Our work highlights the crucial role of pso in enabling Rickettsia to evade immune surveillance during intracellular replication within endothelial cells, ultimately delaying pathogen-induced programmed cell death and escaping immune defense mechanisms.

Operon↗

PubMed2026

Parallel single-cell host immune profiling and pathogen genomic characterization in Klebsiella-associated sepsis: a pilot study.

OBJECTIVES: Sepsis is a life-threatening syndrome characterized by profound immune dysregulation and substantial biological heterogeneity. Here, we conducted a pilot study to explore host immune remodeling in Klebsiella-associated sepsis by combining single-cell RNA sequencing of peripheral blood mononuclear cells with whole-genome sequencing of the corresponding bloodstream isolates. METHODS: In this prospective observational pilot study, we analyzed peripheral blood mononuclear cells (PBMCs) from two patients with Klebsiella-associated sepsis and two healthy controls (HC) using single-cell RNA sequencing. PBMC composition, differential transcriptional responses, and pathway analysis were assessed across immune subsets. The corresponding bloodstream isolates were characterized by phenotypic antimicrobial susceptibility testing and whole-genome sequencing. RESULTS: Compared to HC, septic patients showed expansion of the myeloid compartment and contraction of the NK/T compartment. High-resolution analysis suggested shifts within lymphoid populations. At the transcriptional level, sepsis was associated with compartment-specific enrichment of interferon-related and host-defence pathways, as well as oxidative phosphorylation, ATP synthesis, and mitochondrial electron transport signatures across multiple PBMC subsets. Classical monocytes exhibited a coordinated decrease in MHC class II-related transcripts. The sepsis-associated isolates were identified as Klebsiella pneumoniae and Klebsiella variicola and were notable for overall antimicrobial susceptibility, limited resistomes, and absence of canonical hypervirulence determinants. CONCLUSION: Our data provide a preliminary description of immune remodeling during Klebsiella-associated sepsis and suggest that severe clinical disease may be associated with isolates lacking classical multidrug-resistance or hypervirulence features. These findings should be interpreted as preliminary and hypothesis-generating and require validation in larger cohorts with detailed clinical severity assessment.

Female↗