Biology subjects

Pagni, M.

Publications and source records attributed to Pagni, M..

15 recordsLinked to original sources

bioRxiv2026

Time-resolved transcriptomic profiling of Dictyostelium discoideum infection with Mycobacterium marinum reveals Atg9-dependent restriction via maintenance of vacuole integrity

Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), remains a major global health challenge, highlighting the need to better understand host mechanisms restricting mycobacteria infection. Mycobacterium marinum (Mm) shares key virulence mechanisms with Mtb and provides a suitable model for studying mycobacterial pathogenesis. Here, we used Dictyostelium discoideum (Dd), a genetically tractable phagocytic model with evolutionarily conserved pathways shared with mammalian macrophages, to investigate host responses to Mm infection. Time-resolved transcriptomic profiling across early, intermediate, and late stages of infection identified global infection-responsive genes, stage-specific pathways, and substantial conservation with transcriptional responses of human macrophages infected with Mtb. Autophagy and ESCRT pathways were dynamically regulated throughout infection, suggesting stage-specific roles in host defence. We focused on Atg9, an autophagy factor that was strongly induced during infection and recruited to damaged mycobacterium-containing vacuoles (MCVs). Atg9 promoted membrane damage control and maintained MCV integrity, thereby preventing premature bacteria escape to the cytosol of virulent Mm. Loss of Atg9 led to accumulation of MCV damage, accelerated escape to the cytosol, and enhanced intracellular bacteria growth, phenocopying atg1-deficient cells. Our findings further distinguish complementary host defence mechanisms acting at distinct stages of infection: Atg9-associated membrane repair, potentially involving ATG8ylation, limits vacuole damage and bacteria escape during early infection, whereas Atg9-dependent xenophagic restriction contributes to bacteria clearance at later stages. Together, these findings establish Dd as a powerful model for dissecting conserved host responses to mycobacteria and identify Atg9-dependent membrane protection as a key host resistance mechanism with potential relevance to TB pathogenesis and therapeutic intervention.

microbiology↗

bioRxiv2025

StereoMapper: Clarifying Metabolite Identity Through Stereochemically Aware Relationship Assignment

Inaccuracies in metabolite cross-mapping frequently introduce errors into genome-scale metabolic models (GEMs). A key challenge lies in distinguishing truly identical metabolites from closely related structural variants, such as stereoisomers, across biochemical databases. StereoMapper addresses this issue by establishing stereochemically aware relationships that clarify metabolite identity. It operates entirely on structural information, using molecular structures to infer equivalence and define relationships. StereoMapper was implemented using RDKit (2025.3.3) and Open Babel-wheel (3.1.1.22) which provides the core functionality of the Open Babel software, and benchmarked across four curated control datasets to evaluate performance in relationship classification (enantiomer, diastereomer, stereo-resolution pairs, and protomer). The pipeline was subsequently applied to 1.3 million molecular structures from multiple metabolic databases to generate equivalent isomeric sets (groups of structures identified as equivalent by StereoMapper). These sets were compared against the human subset of MetaNetX, a context-aware reference, to assess concordance and investigate disagreements. On curated positive control sets containing only positive examples across multiple relationship classes, StereoMapper achieved mean precision, recall, and F1-scores of 92.6, 98.0, and 95.3, respectively; following optimisation, these improved to 98.9, 98.2, and 98.5. Application to the 1.3 million structures produced over 339,000 stereochemically defined relationships between molecular structures. Comparison with the human subset of MetaNetX assignments showed an overall grouping concordance of 93.5%. The remaining 6.5% of differences were mainly associated with protomer relationships (52.3%) and stereo-resolution pairs (37.4%), while 21.6% involved complex or ambiguous cases. Scientific contribution statementStereoMapper provides a stereochemically aware pipeline for metabolite relationship assignment that shows high performance across multiple benchmark datasets, resolving key ambiguities in metabolite identity and providing a complementary approach to existing context-aware frameworks. Its integration will enhance reaction-level cross-mapping and improve the accuracy of future GEM reconstructions.

systems biology↗

bioRxiv2025

Microbiome variations in osteoarthritis reflect aging and metabolic factors, not the disease

The gut microbiome is crucial for human health. Its disruption has been linked to several chronic diseases, including joint disorders. The gut-joint axis has been implicated in the pathogenesis of osteoarthritis (OA), but conflicting findings and study limitations have led to uncertainty regarding the role of microbiota. We conducted a multi-cohort gut microbiota analysis in 1,395 OA patients from four European cohorts (Lifelines, EstMB, FINRISK 2002, TwinsUK), using stringent exclusion criteria and matched controls. When assessing microbial diversity, taxa, functional gene profiles, and gut permeability biomarkers, no significant differences were found between OA and controls. Although this does not exclude a causal contribution of the microbiota in the gut-joint-axis, its dysbiosis does not seem to be linked with OA disease progression. Instead, age and BMI appeared as the main contributing factors to microbiome changes. Microbiome studies in complex diseases often face challenges such as small sample sizes, batch effects, and limited ability to match appropriate controls, particularly in single-cohort designs. By combining data from multiple large cohorts, we were able to mitigate these limitations and provide a more robust assessment of microbiome association with OA. Our findings emphasize the need for rigorous study design in microbiome research and challenge the OA-gut dysbiosis hypothesis.

microbiology↗

bioRxiv2025

Fighting Aspergillus infection using biocontrol bacteria: A proof-of-concept of environmental interference in a translational setting

Aspergillus fungi are opportunistic pathogens that affect millions of people worldwide. Aspergilli produce organic acids to optimize the environmental pH and match the needs of their enzymatic machinery. In this study, we tested the hypothesis that this also occurs during infection. By producing oxalic acid (OA), Aspergillus would manipulate pH during lung infection and thus, interfering with this process could control the pathogen. To test this hypothesis, we assessed in silico the potential for OA production in a wide range of Aspergilli. A genetic marker for AO production was detected in most of the species including prevalent human pathogens. We tested OA production in vitro in four strains of A. niger and A. fumigatus, but only one of the A. niger strains produced OA consistently. For this fungal strain, oxalotrophic bacteria were able to control fungal growth via OA consumption. To translate this observation into a pre-clinical system, increasingly complex experiments were performed. In 3D-cell cultures, A. niger also secreted OA and modified pH and free Ca2+. Co-inoculation of the oxalotrophic bacterium inhibited the development of the fungus. However, biocontrol could not be replicated in Galleria mellonella, which is often used as an infection model. In contrast, the bacterium improved disease score and the absence of oxalate crystals in the lungs in the mouse model. This biocontrol interaction between oxalotrophic bacteria and A. niger represents a paradigm shift in the fight against opportunistic fungal pathogens, where the goal is to render the host environment less permissive to pathogen development One Sentence SummaryDemonstration of biocontrol as a therapeutic concept to combat Aspergillus niger with oxalotrophic bacteria in an animal infection model

microbiology↗

bioRxiv2025

Prevalence of Oxalotrophy in the Human Microbiome

Incomplete degradation of oxalate, a compound commonly found in the diet, can cause disease in humans, particularly of the kidney. Its concentration in the body depends on several factors, one of which is intestinal absorption, which is itself affected by oxalotrophy among enteric bacteria. Oxalotrophy in the human microbiome is poorly known. In this study, we perform a systematic search for the simultaneous presence of the three oxalotrophy genes, namely frc, oxc and oxlT. Thanks to the construction and validation of specific conservation models for all three genes, we were able to search for oxalotrophy in genomes and metagenomes associated with the human digestive tract, oral cavity, and lungs. We report that oxalotrophy - the capacity to use oxalate as a source of energy - is a rare metabolic trait, mostly confined to the gut, and also find evidence that it can be acquired by horizontal gene transfer. By contrast, the capacity for oxalate degradation is more widespread, and two genes responsible for it (frc and oxc) are almost always close together in the genome, suggesting selection pressure.

microbiology↗

bioRxiv2023

standard-GEM: standardization of open-source genome-scale metabolic models

The field of metabolic modelling at the genomescale continues to grow with more models being created and curated. This comes with an increasing demand for adopting common principles regarding transparency and versioning, in addition to standardisation efforts regarding file formats, annotation and testing. Here, we present a standardised template for git-based and GitHub-hosted genome-scale metabolic models (GEMs) supporting both new models and curated ones, following FAIR principles (findability, accessibility, interoperability, and reusability), and incorporating bestpractices. standard-GEM facilitates the reuse of GEMs across web services and platforms in the metabolic modelling field and enables automatic validation of GEMs. The use of this template for new models, and its adoption for existing ones, paves the way for increasing model quality, openness, and accessibility with minimal effort. Availabilitystandard-GEM is available from github.com/MetabolicAtlas/standard-GEM under the conditions of the CC BY 4.0 licence along with additional supporting material.

systems biology↗

bioRxiv2023

Fungal antigenic variation using mosaicism and reassortment of subtelomeric genes' repertoires, potentially mediated by DNA triplexes

Surface antigenic variation is crucial for major pathogens that infect humans, e.g. Plasmodium 1, Trypanosoma 2, Giardia 3. In order to escape the immune system, they exploit various mechanisms in order to modify or exchange the protein that is exposed on the cell surface, at the genetic, expressional, and/or epigenetic level 4. Understanding these mechanisms is important to better prevent and fight the deadly diseases caused. However, those used by the fungus Pneumocystis jirovecii that causes life-threatening pneumonia in immunocompromised individuals remain poorly understood. Here, though this fungus is currently not cultivable 5, our detailed analysis of the subtelomeric sequence motifs and genes encoding surface proteins suggest that the system involves mediation of homologous recombinations during meiosis by DNA triplexes. This leads to the reassortment of the repertoire of ca. 80 non-expressed genes present in each strain, from which single genes are retrieved for mutually exclusive expression within subpopulations of cells 6. The recombinations generates also constantly new mosaic genes. Dispersion of the new alleles and repertoires, supposedly by healthy carrier individuals, appears very efficient because identical alleles are observed in patients from all over the world. Our observations reveal a unique strategy of antigenic variation allowing colonization of the non-sterile niche corresponding to lungs of healthy humans. They also highlight the possible role in genome rearrangements of small imperfect mirror sequences forming DNA triplexes 7. Such mirror sequences are widespread in eukaryotic genomes 8, as well as in HIV virus 9, but remain poorly understood so far.

microbiology↗

bioRxiv2021

Candida albicans commensalism in the oral mucosa is favoured by limited virulence and metabolic adaptation .

As part of the human microbiota, the fungus Candida albicans colonizes the oral cavity and other mucosal surfaces of the human body. Commensalism is tightly controlled by complex interactions of the fungus and the host to preclude fungal elimination but also fungal overgrowth and invasion, which can result in disease. As such, defects in antifungal T cell immunity render individuals susceptible to oral thrush due to interrupted immunosurveillance of the oral mucosa. The factors that promote commensalism and ensure persistence of C. albicans in a fully immunocompetent host remain less clear. Using an experimental model of C. albicans oral colonization in mice we explored fungal determinants of commensalism in the oral cavity. Transcript profiling of the oral isolate 101 in the murine tongue tissue revealed a characteristic metabolic profile tailored to the nutrient poor conditions in the stratum corneum of the epithelium where the fungus resides. Metabolic adaptation of isolate 101 was also reflected in enhanced nutrient acquisition when grown on oral mucosa substrates. Persistent colonization of the oral mucosa by C. albicans also correlated inversely with the capacity of the fungus to induce epithelial cell damage and to elicit an inflammatory response. Here we show that these immune evasive properties of isolate 101 are explained by a strong attenuation of a number of virulence genes, including those linked to filamentation. De-repression of the hyphal program by deletion or conditional repression of NRG1 abolished the commensal behaviour of isolate 101, thereby establishing a central role of this factor in the commensal lifestyle of C. albicans in the oral niche of the host. AUTHOR SUMMARYThe oral microbiota represents an important part of the human microbiota and includes several hundreds to several thousands of bacterial and fungal species. One of the most prominent fungus colonizing the oral cavity is the yeast Candida albicans. While the presence of C. albicans usually remains unnoticed, the fungus can under certain circumstances cause lesions on the lining of the mouth referred to as oral thrush or contribute to other common oral diseases such as caries. Maintaining C. albicans commensalism in the oral mucosa is therefore of utmost importance for oral health and overall wellbeing. While overt fungal growth and disease is limited by immunosurveillance mechanisms during homeostasis, C. albicans strives to survive and evades elimination from the host. Here, we show that while commensalism in the oral cavity is characterized by a restricted fungal virulence and hyphal program, enforcing filamentation in a commensal isolate is sufficient for driving pathogenicity and fungus-induced inflammation in the oral mucosa thwarting persistent colonization. Our results further support a critical role for specialized nutrient acquisition allowing the fungus to thrive in the nutrient poor environment of the squamous epithelium. Together, this work revealed key determinants of C. albicans commensalism in the oral niche.

microbiology↗

bioRxiv2020

MetaNetX/MNXref - unified namespace for metabolites and biochemical reactions in the context of metabolic models

MetaNetX/MNXref is a reconciliation of metabolites and biochemical reactions providing cross-links between major public biochemistry and Genome-Scale Metabolic Network (GSMN) databases. The new release brings several improvements with respect to the quality of the reconciliation, with particular attention dedicated to preserving the intrinsic properties of GSMN models. The MetaNetX website (https://www.metanetx.org/) provides access to the full database and online services. A major improvement is for mapping of user-provided GSMNs to MXNref, which now provides diagnostic messages about model content. In addition to the website and flat files, the resource can now be accessed through a SPARQL endpoint (https://rdf.metanetx.org).

systems biology↗

bioRxiv2019

Investigating unexplained genetic variation and its expression in the arbuscular mycorrhizal fungus Rhizophagus irregularis

Arbuscular mycorrhizal fungi (AMF) are important symbionts of plants. Recently, studies of the AMF Rhizophagus irregularis recorded within-isolate genetic variation that does not completely match the proposed homokaryon or heterokaryon state (where heterokaryons comprise a population of two distinct nucleus genotypes). We re-analysed published data showing that bi-allelic sites (and their frequencies), detected in proposed homo- and heterokaryote R. irregularis isolates, were similar across independent studies using different techniques. This indicated that observed within-fungus genetic variation was not an artefact of sequencing and that such within-fungus genetic variation possibly exists. We looked to see if bi-allelic transcripts from three R. irregularis isolates matched those observed in the genome as this would give a strong indication of whether bi-allelic sites recorded in the genome were reliable variants. In putative homokaryon isolates, very few bi-allelic transcripts matched those in the genome. In a putative heterokaryon, a large number of bi-allelic transcripts matched those in the genome. Bi-allelic transcripts also occurred in the same frequency in the putative heterokaryon as predicted from allele frequency in the genome. Our results indicate that while within-fungus genome variation in putative homokaryon and heterokaryon AMF was highly similar in 2 independent studies, there was little support that this variation is transcribed in homokaryons. In contrast, within-fungus variation thought to be segregated among two nucleus genotypes in a heterokaryon isolate was indeed transcribed in a way that is proportional to that seen in the genome.

microbiology↗

bioRxiv2019

Time-resolved RNA-seq profiling of the infection of Dictyostelium discoideum by Mycobacterium marinum reveals an integrated host response to damage and stress

Tuberculosis remains the most pervasive infectious disease and the recent emergence of multiple drug-resistant strains emphasizes the need for more efficient drug treatments. The experimentally versatile Dictyostelium discoideum - Mycobacterium marinum infection model provides a powerful system to study mycobacteria pathogenicity and host response. In this study, a time-resolved transcriptomic analysis of the amoeba D. discoideum was performed to decipher the different host pathways impacted during infection. We investigated how D. discoideum fine-tunes its gene expression in response to M. marinum infection by assessing the transcriptomic profile covering the critical stages of entry, establishment of a permissive niche, proliferation and dissemination (1, 3, 6, 12, 24 and 48 hours post infection). Differential gene expression provided a fingerprint of the transcriptome of the host cell in the presence of mycobacteria, and helped identify specific markers and molecular signatures of infection. Enrichment pathway analysis showed that most of the Biological Processes (BP) of upregulated genes at early time point of infection hinted towards damage response and cellular defence, especially in specific pathways involved in membrane repair (ESCRT) and bacteria elimination (autophagy). Whereas at late time points of infection, BP related to starvation were upregulated. Some other signatures were more unexpected, such as cell cycle (downregulation of cytosolic large & small ribosomal subunits) and upregulation of metabolic adaptations (lipids transport).

systems biology↗

bioRxiv2019

Dictyostelium discoideum flotillin homologues are essential for phagocytosis and participate in plasma membrane recycling and lysosome biogenesis

The metazoan flotillins are lipid rafts residents involved in membrane trafficking and recycling of plasma membrane proteins. Dictyostelium discoideum, a social soil amoeba, uses phagocytosis to digest, kill and feed on bacteria. D. discoideum possesses three flotillin-like proteins, termed VacA, VacB and the recently identified VacC. All three vacuolins gradually accumulate on postlysosomes and, like flotillins, are strongly associated with membranes and partly with lipid rafts. Vacuolins are absolutely required for uptake of various particles. Their absence impairs particle recognition possibly because of defective recycling of plasma membrane or cortex-associated proteins. In addition, vacuolins are involved in phagolysosome biogenesis, although this does not impact digestion and killing of a wide range of bacteria. Furthermore, vacuolin knockout affects early recruitment of the WASH complex on phagosomes, suggesting that vacuolins may be involved in the WASH-dependent plasma membrane recycling. Altogether, these results indicate that vacuolins act as the functional homologues of flotillins in D. discoideum.

cell biology↗

bioRxiv2017

Gene set enrichment analysis using RNA-seq-based condition-specific metabolic networks

MotivationGenome-scale metabolic networks and transcriptomic data represent complementary sources of knowledge about an organisms metabolism, yet their integration to achieve biological insight remains challenging.\n\nResultsWe investigate here condition-specific series of metabolic sub-networks constructed by successively removing genes from a comprehensive network. The optimal order of gene removal is deduced from transcriptomic data. The sub-networks are evaluated via a fitness function, which estimates their degree of alteration. We then consider how a gene set, i.e. a group of genes contributing to a common biological function, is depleted in different series of sub-networks to detect the difference between experimental conditions. The method, named metaboGSE, is validated on public data for Yarrowia lipolytica and mouse. It is shown to produce GO terms of higher specificity compared to popular gene set enrichment methods like GSEA or topGO.\n\nAvailabilityThe metaboGSE R package is available at https://cran.r-project.org/web/packages/metaboGSE.

systems biology↗

bioRxiv2017

Mechanisms of surface antigenic variation in the human pathogenic fungus Pneumocystis jirovecii

Microbial pathogens commonly escape the human immune system by varying surface proteins. We investigated the mechanisms used for that purpose by Pneumocystis jirovecii. This uncultivable fungus is an obligate pulmonary pathogen which causes pneumonia in immuno-compromised individuals, a major life-threatening infection. Long-read PacBio sequencing was used to assemble a core of subtelomeres of a single P. jirovecii strain from a bronchoalveolar lavage fluid specimen of a single patient. A total of 113 genes encoding surface proteins were identified, including 28 pseudogenes. These genes formed a subtelomeric gene superfamily which included five families encoding adhesive GPI-anchored glycoproteins, and one family encoding excreted glycoproteins. Numerical analyses suggested that diversification of the glycoproteins relies on mosaic genes created by ectopic recombination, and occurs only within each family. DNA motifs suggested that all genes are expressed independently, except those of the family encoding the most abundant surface glycoproteins which are subject to mutually exclusive expression. PCR analyses showed that exchange of the expressed gene of the latter family occurs frequently, possibly favoured by the location of the genes proximal to the telomere because this allows concomitant telomere exchange. Our observations suggest that (i) P. jirovecii cell surface is made of a complex mixture of different surface proteins, with a majority of a single isoform of the most abundant glycoprotein, (ii) genetic mosaicism within each family ensures variation of the glycoproteins, and (iii) the strategy of the fungus consists in the continuous production of new subpopulations composed of cells which are antigenically different.

microbiology↗

bioRxiv2017

Low Rate of Somatic Mutations in a Long-Lived Oak Tree

Because plants do not possess a proper germline, deleterious somatic mutations can be passed to gametes and a large number of cell divisions separating zygote from gamete formation in long-lived plants may lead to many mutations. We sequenced the genome of two terminal branches of a 234-year-old oak tree and found few fixed somatic single-nucleotide variants (SNVs), whose sequential appearance in the tree could be traced along nested sectors of younger branches. Our data suggest that stem cells of shoot meristems are robustly protected from accumulation of mutations in trees.

plant biology↗