Biology subjects

King, K.

Publications and source records attributed to King, K..

At least 19 recordsLinked to original sources

bioRxiv2026

Prenatal fentanyl and Δ9-tetrahydrocannabinol exposure disrupt placental function and fetal growth in a mouse model of multidrug use

Opioid and cannabis co-use during pregnancy is increasingly common, yet the placental mechanisms linking combined exposure to adverse fetal outcomes remain poorly defined. Using a controlled mouse model of gestational drug exposure, we tested how fentanyl, {Delta}9-tetrahydrocannabinol (THC), or their combination altered placental structure, immune signaling, and gene expression and how these changes related to fetal growth. Drug exposure produced fetal growth restriction and reduced placental efficiency, with the greatest impairment in the combined fentanyl+THC group. Placental alterations were detectable by mid-gestation, when fentanyl exposure increased nucleated red blood cells within the labyrinth, consistent with hypoxic stress. By term, placentas showed compartment-specific remodeling, with THC selectively expanding the labyrinth and combined fentanyl+THC exposure increasing decidual area. Labyrinth composition and proliferative activity were altered, ultrastructural analysis revealed disruption of the maternal-fetal exchange interface, and placental interleukin-10 and interferon-{beta} levels were reduced across exposure groups. Transcriptomic analyses identified suppression of innate immune and antiviral defense pathways together with treatment-specific stress responses, and integration of placental gene expression with fetal weight showed coordinated repression of vascular and developmental regulators and activation of hypoxia- and metabolic stress-associated genes. These findings identify the placenta as a key mediator of adverse fetal outcomes associated with prenatal polysubstance exposure.

molecular biology↗

bioRxiv2026

A Pooled CRISPR Screen Protocol for Comparative Pathway Analysis Across Multiple Stressors

High content CRISPR screens have become a leading method for the identification of new cellular pathways, proteins functions, and drug targets. However, as the complexity of these screens increase, so does the possibility of artifacts. Here, we describe a refined CRISPR screening protocol that can compare acute cellular responses across multiple cellular treatments and timepoints, while reducing false positives by up to 40% compared to conventional screening approaches. This is achieved through the use of a fluorescence-based reporter line responsive to multiple stressors, as well as a fixation step to preserve acute response differences and avoid sorting-related false positives. We recently performed a version of this workflow to compare kinases regulating different types of selective autophagy, including starvation-induced autophagy, ERphagy, and pexophagy. Beyond autophagy research, this screen approach can be implemented for any fluorescence-based screen where preservation of acute cellular responses is important. Here we present a complete workflow of this optimized screening protocol using our selective autophagy screen as a specific example throughout. Implementation of these strategies should allow researchers to increase the number of stressors tested within a single screen without sacrificing cell health, reliability, or statistical power.

genomics↗

bioRxiv2026

An investigation of the IL-23/Th17 axis and transcriptomic profiles of T helper subsets in endometriosis

Endometriosis (EMS) is a chronic inflammatory disease characterized by ectopic endometrial-like tissue growth and immune dysregulation. Aberrant T cell responses are implicated in EMS pathogenesis, however, functional reprogramming of T helper (Th) subsets across disease stages remain unclear. We profiled systemic and local immune mediators (cytokines/chemokines) and performed bulk RNA sequencing to comprehensively characterize Th1, Th1/17, and Th17 cell subsets from EMS patients and healthy controls. Across patient plasma, peritoneal fluid (PF), and matched eutopic and ectopic tissues, we observed systemic and local cytokine/chemokine alterations, including elevated IL-6 (plasma), FLT-3L and G-CSF (eutopic), and IL-1RA and IL-23 (p40; PF) in severe-stage EMS. Flow cytometry depicted elevated pathogenic Th17 cells in patient PF compared to matched non-pathogenic Th17 and Treg cell subsets. Additionally, circulating Th17 cells were increased in patients with mild (stages I-II) relative to severe (stages III-IV) EMS. RNA sequencing revealed extensive Th subset reprogramming in EMS, most predominately in Th17 cells (2,220 DEGs). Collectively, we reveal significant immune remodeling in EMS and highlight a distinct, aberrant Th17 cell phenotype. Results support repurposing of IL-23- and IL-17-targeted therapeutics, already effectively implemented in other chronic inflammatory diseases, to broaden therapeutic options for EMS and associated comorbidities.

immunology↗

bioRxiv2026

Constraining pesticide resistance using evolution-informed selection regimes

The rapid evolution of pesticide resistance in sexually reproducing pests threatens global food security, yet the evolutionary principles needed to design durable resistance management strategies remain poorly tested experimentally. Theory predicts that deploying multiple pesticide compounds simultaneously should suppress resistance more effectively than sequential rotations, but empirical support in sexual pest populations has remained inconclusive. Here, we directly test how selection regime shapes resistance evolution using a genetically defined, obligately mating Caenorhabditis elegans system. We evolved large dioecious populations from a near-isogenic ancestor carrying two major-effect resistance alleles under contrasting pesticide deployment regimes. We show that compound mixtures combined with a substantial refuge consistently produced the strongest constraint on resistance evolution, markedly slowing the spread of resistance even when resistance alleles were neither recessive nor rare. Species-agnostic computational simulations reproduced the overall evolutionary dynamics, suggesting broad applicability. Overall, our results provide direct experimental evidence that pesticide resistance evolution can be predictably constrained by manipulating selection regimes.

evolutionary biology↗

bioRxiv2025

Regional Vulnerability of Cardiac Chambers to Radiotherapy: A Multi-Omics Perspective

The heart is highly vulnerable to radiotherapy (RT)-induced injury, leading to molecular and structural remodeling collectively termed radiation-induced cardiac toxicity (RICT). Although several biological pathways have been implicated, the regional, cardiac-specific molecular responses to radiation exposure remain incompletely understood. Here, a multi-omics approach was adopted to longitudinally characterise the unique responses to radiation of the heart base (including ventricular base and right atrium), or the heart apex. Ventricular base irradiation induced a cardiomyopathy phenotype, with pronounced molecular perturbations in metabolism and electrical conduction, while changes related to tissue structure were predominant following apex-directed RT. In the right atrium, irradiation drives fibrotic tissue remodelling, leading to an increased propensity for atrial fibrillation, underpinned by changes in sarcomere organisation. This study represents a comprehensive characterisation of differential spatiotemporal radiation effects in the heart and highlights biological and functional pathways that are potentially clinically actionable for cardiac radioprotection and monitoring.

cell biology↗

bioRxiv2025

Mapping brain function underlying naturalistic motor observation and imitation using high-density diffuse optical tomography

BackgroundAutism spectrum disorder (ASD), a condition defined by deficits in social communication, restricted interests, and repetitive behaviors, is associated with early impairments in motor imitation that persist through childhood and into adulthood. Alterations in the mirror neuron system (MNS), crucial for interpreting and imitating actions, may underlie these ASD-associated differences in motor imitation. High-density diffuse optical tomography (HD-DOT) overcomes logistical challenges of functional magnetic resonance imaging to enable identification of neural substrates of naturalistic motor imitation. ObjectiveWe aim to investigate brain function underlying motor observation and imitation in autistic and non-autistic adults. We hypothesize that HD-DOT will reveal greater activation in regions associated with the MNS during motor imitation than motor observation, and that MNS activity will negatively correlate with autistic traits and motor fidelity. MethodsWe imaged brain function using HD-DOT in N = 100 participants as they engaged in observing or imitating a sequence of arm movements. Additionally, during imitation, participant movements were simultaneously recorded with 3D cameras for computer-vision-based assessment of motor imitation (CAMI). Cortical responses were estimated using general linear models, and multiple regression was used to test for associations with autistic traits, assessed via the Social Responsiveness Scale-2 (SRS), and imitation fidelity, assessed via CAMI. ResultsBoth observing and imitating motor movements elicited significant activations in higher-order visual and MNS regions, including the inferior parietal lobule, superior temporal gyrus, and inferior frontal gyrus. Imitation additionally exhibited greater activation in the superior parietal lobule, primary motor cortex, and supplementary motor area. Notably, the right temporal-parietal junction exhibited activation during observation but not during imitation. Higher autistic traits were associated with increased activation during motor observation in the right superior parietal lobule. No significant correlation between brain activation and CAMI scores was observed. ConclusionsOur findings provide robust evidence of shared and task-specific cortical responses underlying motor observation and imitation, emphasizing the differential engagement of MNS regions during motor observation and imitation.

neuroscience↗

bioRxiv2024

Warming-induced excess deaths of infected animals depend on pathogen kingdom and evolutionary history

Climate change is causing extreme heating events. Simultaneously, climate change and human activities are leading to more prolonged and intense infectious disease outbreaks. The extent to which warming and infection may together impact host species persistence is, however, unclear. Using a meta-analysis of >190 effect sizes representing 101 ectothermic animal host-pathogen systems, we provide broad evidence that experimentally increased temperatures drove higher pathogen virulence, specifically pathogen-induced host mortality. Such pattern was mainly driven by excess host death caused by bacterial infections combined with warming, particularly if the pathogenic bacteria were naturally established within the host species, though novel infections without known host-pathogen evolutionary history were more lethal at lower temperatures. Importantly, larger temperature increases were associated with more host deaths hinting at the escalating threat for animal species as the world continues to warm. We found that the virulence of fungal pathogens increased only when temperatures were shifted upwards towards their thermal optimum. The magnitude of these effects was not impacted by host life-stage, immune complexity, or variable experimental protocols. Overall, our findings reveal distinct patterns of pathogen virulence change under warmer temperatures, suggesting that the impact of global warming on infectious disease outcomes would depend on pathogen traits (taxonomic kingdom, thermal tolerance) and host-pathogen evolutionary history. Author SummaryHuman-induced climate warming is one of the biggest challenges in our times. Simultaneously, climate change is associated with more intense infectious disease outbreaks, suggesting that temperature rises also influence disease dynamics. Growing numbers of studies have investigated the effect of warming on disease severity (or pathogen virulence) in different animal host-pathogen systems. However, individual studies did not always agree with each other, and how increased temperature and pathogen infection together impact animal survival remains unclear. Here, we resolved this uncertainty by conducting a meta-analysis of >190 effect sizes representing 101 animal host-pathogen systems. We provided broad evidence that, higher temperatures caused more deaths of infected animals, particularly for animals with bacterial infections under warmer conditions. We found that larger temperature rises were associated with more animal deaths, suggesting the increased threat for host species as the world continues to warm. We also found that pathogenic fungi were more sensitive to heat than bacterial pathogens, and temperature changes the virulence of fungal pathogens in relation to their thermal optimum.

ecology↗

bioRxiv2023

Network level enrichment provides a framework for biological interpretation of machine learning results

Machine learning algorithms are increasingly used to identify brain connectivity biomarkers linked to behavior and clinical outcomes. However, non-standard methodological choices in neuroimaging datasets, especially those with families or twins, have prevented robust machine learning applications. Additionally, prioritizing prediction accuracy over biological interpretability has made it challenging to understand the biological processes behind psychopathology. In this study, we employed a linear support vector regression model to study the relationship between resting-state functional connectivity networks and chronological age using data from the Human Connectome Project. We examined the effect of shared variance from twins and siblings by using cross-validation, either randomly assigning or keeping family members together. We also compared models with and without a Pearson feature filter and utilized a network enrichment approach to identify predictive brain networks. Results indicated that not accounting for shared family variance inflated prediction performance, and the Pearson filter reduced accuracy and reliability. Enhancing biological interpretability was achieved by inverting the machine learning model and applying network-level enrichment on the connectome, while directly using regression coefficients as feature weights led to misleading interpretations. Our findings offer crucial insights for applying machine learning to neuroimaging data, emphasizing the value of network enrichment for comprehensible biological interpretation.

neuroscience↗

bioRxiv2023

A novel iPSC model reveals selective vulnerability of neurons in Multiple Sulfatase Deficiency

Multiple sulfatase deficiency (MSD) is an ultra-rare, inherited lysosomal storage disease caused by mutations in the gene sulfatase modifying factor 1 (SUMF1). MSD is characterized by the functional deficiency of all sulfatase enzymes, leading to the storage of sulfated substrates including glycosaminoglycans (GAGs), sulfolipids, and steroid sulfates. Patients with MSD experience severe neurological impairment, hearing loss, organomegaly, corneal clouding, cardiac valve disease, dysostosis multiplex, contractures, and ichthyosis. Here, we generated a novel human model of MSD by reprogramming patient peripheral blood mononuclear cells to establish an MSD iPSC line (SUMF1 p.A279V). We also generated an isogenic control iPSC line by correcting the pathogenic variant with CRISPR/Cas9 gene editing. We successfully differentiated these iPSC lines into neural progenitor cells (NPCs) and NGN2-induced neurons (NGN2-iN) to model the neuropathology of MSD. Mature neuronal cells exhibited decreased SUMF1 gene expression, increased lysosomal stress, impaired neurite outgrowth and maturation, reduced sulfatase activities, and GAG accumulation. Interestingly, MSD iPSCs and NPCs did not exhibit as severe of phenotypes, suggesting that as neurons differentiate and mature, they become more vulnerable to loss of SUMF1. In summary, we demonstrate that this human iPSC-derived neuronal model recapitulates the cellular and biochemical features of MSD. These cell models can be used as tools to further elucidate the mechanisms of MSD pathology and for the development of therapeutics.

cell biology↗

bioRxiv2023

Incomplete immunity in a natural animal-microbiota interaction boosts pathogen virulence

Strong partial immunity in recovered hosts is predicted to favour more virulent pathogens upon re-infection in the population. We present empirical evidence that the incomplete immunity generated by commensal host microbiota can similarly select for higher pathogen virulence. We tracked the evolutionary trajectories of a widespread pathogen (Pseudomonas aeruginosa) experimentally passaged through populations of nematode hosts which had been immune-primed by a natural commensal. Immune protection selected for pathogens more than twice as likely to kill the nematode as those evolved in non-primed or immune-compromised animals. Despite the higher virulence that emerged, pathogen molecular evolution in immune-primed hosts was slower and more constrained compared to evolution in immune-compromised hosts, where substantial genetic differentiation was exhibited. These findings directly attribute the partial protective immunity provided by host-microbiome interactions as a significant selective force shaping the virulence and evolutionary dynamics of novel infectious diseases.

evolutionary biology↗

bioRxiv2022

Activation of TnSmu1, an integrative and conjugative element, is lethal to Streptococcus mutans

Integrative and conjugative elements (ICEs) are chromosomally encoded mobile genetic elements that can transfer DNA between bacterial strains. Recently, as part of efforts to determine hypothetical gene functions, we have discovered an important regulatory module encoded on an ICE known as TnSmu1 on the Streptococcus mutans chromosome. The regulatory module consists of a cI-like repressor with a helix-turn-helix DNA binding domain immRSmu (immunity repressor) and a metalloprotease immASmu (anti-repressor). It is not possible to create an in-frame deletion mutant of immRSmu and repression of immRSmu with CRISPRi causes substantial cell defects. We used a bypass of essentiality (BoE) screen to discover genes that allow deletion of the regulatory module. This revealed that conjugation genes, located within TnSmu1, can restore the viability of an immRSmu mutant. Deletion of immRSmu also leads to production of a circular intermediate form of TnSmu1, that is also inducible by the genotoxic agent mitomycin C. To gain further insights into potential regulation of TnSmu1 by ImmRSmu and broader effects on S. mutans UA159 physiology we used CRISPRi and RNA-seq. Strongly induced genes included all the TnSmu1 mobile element, genes involved in amino acid metabolism, transport systems, and a Type I-C CRISPR-Cas system. Lastly, bioinformatic analysis shows that the TnSmu1 mobile element and its associated genes are well distributed across S. mutans isolates. Taken together, our results show that activation of TnSmu1 is controlled by the immRASmu module, and that activation is deleterious to S. mutans, highlighting the complex interplay between mobile elements and their host.

microbiology↗

bioRxiv2021

Coordinated modulation of multiple processes through phase variation of a c-di-GMP phosphodiesterase in Clostridioides difficile

The opportunistic nosocomial pathogen Clostridioides difficile exhibits phenotypic heterogeneity through phase variation, a stochastic, reversible process that modulates expression. In C. difficile, multiple sequences in the genome undergo inversion through site-specific recombination. Two such loci lie upstream of pdcB and pdcC, which encode phosphodiesterases (PDEs) that degrade the signaling molecule c-di-GMP. Numerous phenotypes are influenced by c-di-GMP in C. difficile including cell and colony morphology, motility, colonization, and virulence. In this study, we aimed to assess whether PdcB phase varies, identify the mechanism of regulation, and determine the effects on intracellular c-di-GMP levels and regulated phenotypes. We found that expression of pdcB is heterogeneous and the orientation of the invertible sequence, or pdcB switch, determines expression. The pdcB switch contains a promoter that when properly oriented promotes pdcB expression. Expression is augmented by an additional promoter upstream of the pdcB switch. Mutation of nucleotides at the site of recombination resulted in phase-locked strains with significant differences in pdcB expression. Characterization of these mutants showed that the pdcB locked-ON mutant has reduced intracellular c-di-GMP compared to the locked-OFF mutant, consistent with increased and decreased PdcB activity, respectively. These alterations in c-di-GMP had concomitant effects on multiple known c-di-GMP regulated processes. These results indicate that phase variation of PdcB allows C. difficile to coordinately diversify multiple phenotypes in the population to enhance survival.

microbiology↗

bioRxiv2021

Hematopoietic stem and progenitor cells improve survival from sepsis by boosting immunomodulatory cells

New therapeutic strategies to reduce sepsis-related mortality are urgently needed, as sepsis accounts for 1 in 5 deaths worldwide. Since hematopoietic stem and progenitor cells (HSPCs) are responsible for producing blood and immune cells, including in response to immunological stress, we explored their potential for treating sepsis. In a mouse model of Group A Streptococcus (GAS)-induced sepsis, severe immunological stress was associated with significant depletion of bone marrow HSPCs and mortality within approximately 5-7 days. We hypothesized that the inflammatory environment of GAS infection drives rapid HSPC differentiation and depletion that can be rescued by infusion of donor HSPCs. Indeed, infusion of 10,000 naive HSPCs into GAS-infected mice resulted in rapid myelopoiesis and a 50-60% increase in overall survival. Surprisingly, mice receiving donor HSPCs displayed a similar pathogen load compared to untreated mice. Flow cytometric analysis revealed a significantly increased number of myeloid-derived suppressor cells in HSPC-infused mice, which correlated with reduced inflammatory cytokine levels and restored HSPC levels. These findings suggest that HSPCs play an essential immunomodulatory role that may translate into new therapeutic strategies for sepsis.

immunology↗

bioRxiv2021

Phenotyping the tumor-immune microenvironment (TiME) in vivo by cellular-level optical imaging reveals unique combination phenotypes with variable inflammation and endothelial anergy

Immunotherapies have shown unprecedented clinical benefits in several malignancies1-3. However, clinical responses remain variable and unpredictable, indicating the need to develop predictive platforms that can improve patient stratification4. Phenotyping of tumors into hot, altered, or cold5 based on assessment of only T-cell infiltration in static tumor biopsies provides suboptimal prediction of immunotherapy response6,7. In vivo dynamic mechanisms within the tumor microenvironment such as tumor angiogenesis and leukocyte trafficking5,8,9 also play a central role in modulating anti-tumor immunity and therefore immunotherapy response. Here, we report novel tumor immune microenvironment (TiME) phenotyping in vivo in patients with non-invasive spatially-resolved cellular-level imaging based on endogenous contrast. Investigating skin cancers as a model, with reflectance confocal microscopy (RCM) imaging10, we determined four major phenotypes with variable prevalence of vasculature (Vasc) and inflammation (Inf) features: VaschiInfhi, VaschiInflo, VascloInfhi and Vascmed/hiInflo. The VaschiInfhi phenotype correlates with high immune activation, exhaustion, and vascular signatures while VaschiInflo with endothelial anergy and immune exclusion. Automated quantification of TiME features demonstrates moderate-high accuracy and correlation with corresponding gene expression. Prospectively analyzed response to topical immunotherapy show highest response in VascloInfhi, and reveals the added value of vascular features in predicting treatment response. Our novel in vivo cellular-level imaging and phenotyping approach can potentially advance our fundamental understanding of TiME, develop robust predictors for immunotherapy outcomes and identify novel targetable pathways in future.

cancer biology↗

bioRxiv2020

Invasive freshwater snails form novel microbial symbioses

Resident microbes (microbiota) can shape host organismal function and adaptation in the face of environmental change. Invasion of new habitats exposes hosts to novel selection pressures, but little is known about the impact of invasion on microbiota and the host-microbiome relationship after this transition (e.g., how rapidly symbioses are formed, whether microbes influence invasion success). We used high-throughput 16S rRNA sequencing of New Zealand (native) and European (invasive) populations of the freshwater snail Potamopyrgus antipodarum and found that while invaders do carry over some core microbial taxa from New Zealand, most of their microbial community is distinct. This finding highlights that invasions can result in the formation of novel symbioses. We further show that the native microbiome is composed of fewer core microbes than the microbiome of invasive snails, suggesting that the microbiota is streamlined to essential members. Together, our findings demonstrate that microbiota comparisons across native and invasive populations can reveal the impact of a long coevolutionary history and specialization of microbes in the native host range, as well as new associations occurring after invasion. We lay essential groundwork for understanding how microbial relationships affect invasion success and how microbes may be utilized in the control of invasive hosts.

evolutionary biology↗

bioRxiv2020

Evolution and maintenance of microbe-mediated protection under occasional pathogen attack

Every host is colonized by a variety of microbes, some of which can protect their hosts from pathogen infection. However, pathogen presence naturally varies over time in nature, such as in the case of seasonal epidemics. We experimentally coevolved populations of Caenorhabditis elegans worm hosts with bacteria possessing protective traits (Enterococcus faecalis), in treatments varying the infection frequency with pathogenic Staphylococcus aureus every host generation, alternating host generations, every fifth host generation or never. We additionally investigated the effect of initial pathogen presence at the formation of the defensive symbiosis. Our results show that enhanced microbe-mediated protection evolved during host-protective microbe coevolution when faced with rare infections by a pathogen. Initial pathogen presence had no effect on the evolutionary outcome of microbe-mediated protection. We also found that protection was only effective at preventing mortality during the time of pathogen infection. Overall, our results suggest that resident microbes can be a form of transgenerational immunity against rare pathogen infection.

microbiology↗

bioRxiv2019

Interferon stimulated genes mark pathogenic cells of the emergency myelopoietic response to sterile tissue injury in mice and humans

Sterile tissue injury locally activates innate immune responses via interactions with damage associated molecular patterns (DAMPs). Here, by analyzing [~]120K single cell transcriptomes after myocardial infarction (MI) in mice and humans, we show neutrophil and monocyte subsets induce type I interferon (IFN) stimulated genes (ISGs) in myeloid progenitors of the bone marrow, far from the site of injury. In patients with acute MI, peripheral blood neutrophils and monocytes express ISGs at levels far beyond healthy individuals and comparable to patients with lupus. In the bone marrow of Tet2-/- mice, ISGs are spontaneously induced in myeloid progenitors and their progeny. In the heart, IFN responses are negatively regulated by Ccr2- resident macrophages in a Nrf2-dependent fashion. Our results show post-MI IFN signaling begins in the bone marrow, implicate multiple transcription factors in its regulation (Tet2, Irf3, Nrf2), and provide a clinical biomarker (ISG score) for studying post-MI IFN signaling in patients.

immunology↗

bioRxiv2019

Stringent Response Governs the Virulence and Oxidative Stress Resistance of Francisella tularensis

Francisella tularensis is a Gram-negative bacterium responsible for causing tularemia in the northern hemisphere. F. tularensis has long been developed as a biological weapon due to its ability to cause severe illness upon inhalation of as few as ten organisms and based on its potential to be used as a bioterror agent is now classified as a Tier 1 Category A select agent by the CDC. The stringent response facilitates bacterial survival under nutritionally challenging starvation conditions. The hallmark of stringent response is the accumulation of the effector molecules ppGpp and (p)ppGpp known as stress alarmones. The relA and spoT gene products generate alarmones in several Gram-negative bacterial pathogens. RelA is a ribosome-associated ppGpp synthetase that gets activated under amino acid starvation conditions whereas, SpoT is a bifunctional enzyme with both ppGpp synthetase and ppGpp hydrolase activities. Francisella encodes a monofunctional RelA and a bifunctional SpoT enzyme. Previous studies have demonstrated that stringent response under nutritional stresses increases expression of virulence-associated genes encoded on Francisella Pathogenicity Island. This study investigated how stringent response governs the oxidative stress response of F. tularensis. We demonstrate that RelA/SpoT-mediated ppGpp production alters global gene transcriptional profile of F. tularensis in the presence of oxidative stress. The lack of stringent response in relA/spoT gene deletion mutants of F. tularensis makes bacteria more susceptible to oxidants, attenuates survival in macrophages, and virulence in mice. Mechanistically, we provide evidence that the stringent response in Francisella contributes to oxidative stress resistance by enhancing the production of antioxidant enzymes.\n\nImportanceThe unique intracellular life cycle of Francisella in addition to nutritional stress also exposes the bacteria to oxidative stress conditions upon its brief residence in the phagosomes, and escape into the cytosol where replication takes place. However, the contribution of the stringent response in gene regulation and management of the oxidative stress response when Francisella is experiencing oxidative stress conditions is not known. Our results provide a link between the stringent and oxidative stress responses. This study further improves our understanding of the intracellular survival mechanisms of F. tularensis.

microbiology↗