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bioRxiv2026

Unveiling the taxonomic diversity and unprecedented biosynthetic treasure of the phylum Myxococcota

Natural products remain vital sources of therapeutics, particularly anti-infectives, and members of the phylum Myxococcota constitute an especially rich reservoir for their discovery. Based on decades of microbiological efforts, we present 154 new Myxococcota genomes and propose a revised taxonomy expanding the number of described families from 11 to 28 and genera from 32 to 90. Comparison with an equivalent set from the prime source Actinomycetota shows that Myxococcota possess a comparable biosynthetic diversity, underscoring their promise for large-scale isolation and sequencing efforts. The vast untapped potential reflected in 2,387 uncharacterized gene cluster families is highlighted by genome mining efforts, yielding four validated compounds exhibiting novel chemistry, including myxolutamids and myxopentacins. We show that many Myxococcota-derived natural products, such as myxolutamid A and two new sorangicin derivatives, are conserved within taxonomic lineages. New described families thus bear high biosynthetic potential underpinning the importance of precise taxonomic classification guiding targeted drug discovery.

microbiology↗

bioRxiv2026

A Dual-Phase Strategy to Integrate the VITEK MS RUO Database into Routine Clinical Practice: From Validation of Analytical Performance to Implementation of an Automated Workflow

BackgroundMatrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is pivotal in clinical microbiology. The VITEK MS Research Use Only (RUO) database offers broader species coverage, yet its clinical adoption is hindered by insufficient performance validation against the approved in vitro diagnostic (IVD) database and inefficient manual operational workflows. ObjectiveThis two-phase study first aimed to develop and evaluate an automated integrated workflow to enhance laboratory efficiency and diagnostic capability. MethodsThe RUO databases two-tier identification architecture was utilized and in-house automated relay software was developed to parse IVD results and fully automate RUO reanalysis. Phase 1 (Mar 2021-Jun 2022) involved parallel manual testing of 2,432 isolates with both databases to analyze concordance and supplementary performance. Phase 2 (Jul-Nov 2022) prospectively incorporated 3,954 isolates to implement and assess the "IVD screening - automated RUO reanalysis" workflow. ResultsPhase 1 demonstrated high RUO-IVD concordance (95.7% species/genus agreement). The RUO database correctly identified 98.9% of isolates and provided valid supplementary identification for 84.4% (108/128) of IVD-failed cases, with Tier 2 contributing 28.9%. Phase 2 revealed that the integrated workflow increased the overall identification rate from 95.5% to 98.7%, with Tier 2 contributing an additional 14.5%. The automated software reduced reanalysis turnaround time by > 75%, saving consumables and labor. ConclusionThe VITEK MS RUO database is a reliable and complementary tool to the IVD database. Integration with automated software creates an efficient, compliant clinical workflow, providing a practical model to enhance pathogen identification for infectious disease management. IMPORTANCEThe present study bridges the validation-to-application gap for the VITEK MS RUO database. We confirm its high concordance (95.7%) and complementary value to the IVD database, quantify the impact of manual workflow inefficiency and introduce an automated software solution. The strategy highlights the key role of Reference Spectra (Tier 2) in expanding coverage and simultaneously improves diagnostic efficacy ([~]99% ID rate), operational efficiency (> 75% time saved) and cost-effectiveness, offering a practical model to accelerate pathogen reporting and to guide therapy.

microbiology↗

bioRxiv2026

Microbial community dynamics in a traditional Swiss mountain cheese over 142 years of cheesemaking

The history of cheesemaking is deeply intertwined with the evolution of microbial communities, from spontaneous fermentation to modern, standardized practices. Despite centuries of refinement, the most profound shifts in cheese production occurred in the last century, driven by advances in microbiology and production technologies. These changes have shaped the bacterial and viral communities within cheese, yet the specific impacts remain underexplored. Using shotgun metagenomics and 16S rRNA gene amplicon sequencing approaches, we examined microbial community changes in Raclette du Valais, a traditional Swiss cheese, using preserved cheese wheels from 1875 to 2017 from the same alpine dairy in Switzerland. Our results reveal that significant shifts in microbial community composition coincide with changes in production practices. Notably, the oldest cheese harbored a distinct bacterial community, dominated by Lactiplantibacillus paraplantarum, Streptococcus thermophilus, Pseudolactococcus laudensis, and taxa commonly associated with the gut environment, indicative of spontaneous fermentation and the use of calf stomach for milk coagulation. Functionally, we can also track the rise and fall of antibiotic resistance genes mirroring their use. Furthermore, we found that domestication of lactic acid bacteria predates the studied period, and that bacteriophage genera detected in 1875 are representatives of those commonly found in modern cheesemaking. These findings highlight how microbial communities have adapted to changing production methods and how human intervention, through practices like antibiotic use in animal husbandry, has influenced these ecosystems in remote alpine cheesemaking. Significance StatementCheesemaking relies on complex microbial ecosystems shaped by long-standing human practices, yet how these communities responded to the modernization of food production has remained largely unknown. By analyzing DNA preserved in historical cheese wheels from a single alpine dairy, we examine microbial community changes across a key technological transition. We show that modernization impacted bacterial composition and functional potential, that cheese microbiomes record the rise of agricultural antibiotic use, and that major cheese-associated phages and domesticated starter bacteria were already established over a century ago. These findings demonstrate that historical cheeses preserve long-term microbial records and offer a glimpse how changes in food production practices shape fermented-food microbiomes.

microbiology↗

bioRxiv2026

Characterization and Optimization of Streptomyces albidoflavus MD102 as a heterologous expression chassis

We report the isolation and characterization of Streptomyces albidoflavus MD102, a strain that can be used as a microbial chassis for the heterologous production of secondary metabolites. This strain, closely related to the widely used S. albidoflavus J1074, exhibits a compact genome, exceptional genetic tractability, rapid growth, and susceptibility to antibiotics. Whole-genome sequencing revealed the metabolic capabilities of S. albidoflavus MD102, highlighting its versatility in supporting the production of diverse secondary metabolites. Employing CRISPR/Cas9-assisted genome editing tools, we created mutant strains with reduced genome and cleaner chromatographic background. In addition to the deletion of several biosynthetic gene clusters (BGC), we inserted the global regulator bldA gene and geranyl diphosphate synthase (gpps) genes and an additional {Phi}BT1-attB attachment site into the chromosome to enhance the strains capability in producing secondary metabolites. S. albidoflavus MD102 will be a new addition to the repertoire of existing Streptomyces chassis, contributing to the advancement of secondary metabolite discovery and synthetic microbiology. IMPORTANCEThe pursuit of a universal Streptomyces microbial chassis for the heterologous production of secondary metabolites has proven elusive, prompting a more pragmatic approach to develop a suite of Streptomyces chassis. The current study introduces Streptomyces albidoflavus MD102 as a promising heterologous chassis with rapid growth, susceptibility to common antibiotics, and genetic tractability. Its close phylogenetic relation with the widely used versatile S. albidoflavus J1074 chassis and the traits gained from strain improvement place the engineered S. albidoflavus MD102 strains as useful chassis for the heterologous production of microbial secondary metabolites. A notable feature of S. albidoflavus MD102 that distinguishes it from J1074 and other Streptomyces chassis is the presence of metabolic genes in its genome putatively responsible for the degradation of aromatic compounds. This characteristic may endow the strain with the capability to convert petrogenic polycyclic aromatic hydrocarbons (PAHs) and substituted aromatics into valuable secondary metabolites.

microbiology↗

bioRxiv2026

Spatial growth in food-like matrices differentially modulates food-related stress responses but enhances digestive tolerance in major foodborne pathogens

Foods are spatially structured and heterogeneous matrices in which microbial pathogens predominantly grow as immobilised microcolonies rather than planktonic free cells. However, most predictive microbiology and risk assessment models rely on homogeneous liquid cultures, potentially overlooking spatial effects on stress adaptation. Here, we investigated how growth within food-like semi-solid matrices influences stress adaptation and digestive tolerance of major foodborne pathogens. We compared planktonic and spatialised lifestyles across multiple species exposed to salt and organic acid stresses. Spatial growth profoundly altered growth dynamics in a stress- and species-dependent manner. Notably, spatial growth markedly enhanced tolerance to simulated gastrointestinal stresses in vitro, particularly under acidic conditions. This protective effect was further confirmed in vivo within the acidic midgut of Hermetia illucens larvae. Our findings demonstrate that spatial organisation generates distinct physiological states that increase pathogen resilience, highlighting the need to integrate spatialisation into predictive models and quantitative microbial risk assessment.

microbiology↗

bioRxiv2026

Cotton fabrics functionalized with hydroxyl-rich graphene derivatives and silver nanowires: washing resistance and preliminary antibacterial activity against Escherichia coli

Cotton-based antimicrobial textiles are attractive for applications requiring improved microbiological control, but their performance depends on effective surface functionalization and retention of the active materials after use and washing. In this work, cotton fabrics were functionalized with hydroxyl-rich graphene oxide (HGO), hydroxyl-rich reduced graphene oxide (H-rGO), and silver nanowires (AgNWs), either individually or in combined treatments, to investigate their deposition onto the textile surface, washing resistance, and preliminary antibacterial activity. The treated fabrics were prepared by immersion-based coating procedures, and the persistence of the deposited materials after repeated washing was evaluated by UV-Vis analysis of the residual wash solutions. Surface morphology before and after washing was examined by scanning electron microscopy. The results showed that graphene-based coatings, particularly HGO, exhibited stronger retention on cotton fibers, while AgNWs were partially retained after repeated washing cycles. SEM images confirmed the deposition of AgNWs on the cotton surface and showed that part of the coating remained associated with the fibers after washing. A preliminary antibacterial assay against Escherichia coli indicated that nanomaterial-treated fabrics inhibited bacterial growth relative to untreated controls, with the combined HGO/AgNWs treatment showing the most promising inhibitory trend under the tested conditions. These findings demonstrate the feasibility of producing cotton fabrics functionalized with hydroxyl-rich graphene derivatives and silver nanowires, supporting their potential as proof-of-concept antibacterial textiles with partial washing resistance.

microbiology↗

bioRxiv2026

A Thousand Meters Deep: Vertical Profiling of the Subterranean Microbiome of Gourgouthakas Cave

IntroductionCaves represent unique, nutrient-limited windows into the deep biosphere, yet the microbiology of the deep terrestrial subsurface remains remarkably under-explored. In this work, we conducted a rare expedition into Gourgouthakas Cave (Crete, Greece), one of the worlds deepest vertical systems, which had remained untouched by humans for 19 years. MethodsWe performed a high-resolution vertical profiling of the caves microbes by sampling rock surfaces across nine different depths down to 1,100 meters. Through extensive cultivation on various media and at different temperatures, we established a biobank of 820 bacterial isolates. ResultsTaxonomic identification of a 374-isolate subset revealed a diverse community spanning 35 genera and 4 phyla, dominated by Pseudomonas, Aquipseudomonas, Bacillus, and Stenotrophomonas. Beyond characterizing this taxonomic diversity, we explored the biotechnological potential of these subterranean microbes against major agricultural threats. Screening 70 representative isolates against six key pathogens, including Ralstonia solanacearum, Verticillium dahliae, and Phytophthora nicotianae, uncovered a notable group of strains with potent antagonistic activity, particularly within the Pseudomonas and Brevibacillus groups. Genomic sequencing of cave-derived Actinobacteria (Streptomyces and Nocardiopsis isolates) further highlighted this potential, revealing 142 biosynthetic gene clusters (BGCs), over half of which showed little to no similarity to known clusters, suggesting a hidden reservoir of novel secondary metabolites. Pangenomic analysis of Streptomyces revealed 1,497 unique gene clusters. Finally, ex vivo trials showed that the Aquipseudomonas paracarnis (formerly Pseudomonas sp.) isolate SRL917 significantly reduced Botrytis cinerea infections on tomato leaves, even surpassing the performance of a commercial biocontrol agent. DiscussionCollectively, our results demonstrate that deep karstic systems are not merely geological wonders but vital hotspots for microbial innovation with tangible applications for sustainable agriculture.

microbiology↗

bioRxiv2026

Sequential Dual-Ion MALDI Glycotyping Enables Rapid Phenotypic O-Antigen Typing of Escherichia coli and Shigella

Accurate O-antigen typing of Gram-negative bacteria is important for surveillance, outbreak investigation, and quality control of reference strains. However, commonly used typing approaches, including serological agglutination assays and molecular methods, do not always resolve structural variation in expressed O-antigen phenotypes. Here, we describe an improved MALDI glycotyping workflow based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) that enables rapid phenotypic characterization of O-antigen repeating units (RUs). The workflow uses a sequential dual-ion acquisition strategy in which positive-ion spectra are obtained first and negative-ion analysis is triggered only when RU signals are absent, enabling detection of both neutral and acidic O-antigen structures from the same sample spot. Applied to a diverse panel of 71 Escherichia coli and Shigella strains, RU-derived signals were detected in more than 80% of isolates. The approach resolved modification-level structural variation and discriminated isobaric O-antigen phenotypes, enabling scalable phenotypic profiling of O-antigen composition and inference of candidate O-antigen identities from RU-level information. Integration with agglutination testing further revealed discrepancies between archived serotype annotations and expressed O-antigen phenotypes, enabling reassignment of several strains to alternative O-antigen types. Because the workflow can be implemented on MALDI-TOF MS platforms already widely used for microbial identification, this method provides a practical phenotypic complement to conventional O-antigen typing in clinical microbiology laboratories and remains compatible with rapid single-colony MALDI workflows used in routine microbial identification. ImportanceAccurate O-antigen characterization is essential for pathogen surveillance and quality control of reference strain integrity. However, existing methods often rely on genetic or serological proxies rather than direct structural analysis of the expressed O-antigen. We established a sequential dual-ion MALDI glycotyping method that enables rapid phenotypic characterization of both neutral and acidic O-antigen repeating units in E. coli and Shigella. This approach detected O-antigen signals in over 80% of a diverse strain panel and identified fine structural modifications that conventional tests miss. Importantly, our method uncovered discrepancies in archived serotype data, allowing for the corrected reassignment of several reference strains. By integrating glycan phenotyping into existing MALDI-TOF MS workflows already common in clinical settings, this method offers a robust and scalable tool for high-resolution bacterial typing and quality control.

microbiology↗

bioRxiv2026

Real-time, in situ fluorescence and optical density measurements of liquid cultures in simulated microgravity

As human space exploration expands to the Moon, Mars, and beyond, there is a growing need to study the effects of altered gravity on the microbial systems that we will bring with us for life support. Because spaceflight experiment opportunities are rare and resource-intensive, most space biology experiments are conducted using ground-based simulators. The most common microgravity simulator for microbial experiments, the rotating wall vessel, can approximate the low-shear and low-turbulence conditions that characterize microgravity. However, current designs do not allow for real-time measurement of growth or metabolic activity during rotation: experiments require destructive sampling or disruption of the microgravity simulation conditions. Here, we describe the development of an in situ spectroscopy system compatible with the Cell Spinpod rotating wall vessel, which enables measurement of both optical absorbance and fluorescence with high temporal resolution, producing growth curves similar to those from an off-the-shelf plate reader. These results are validated using two common microbial hosts: Escherichia coli and Saccharomyces cerevisiae. The Spinpod Optical System has the potential to diversify the types of microbiology experiments possible in simulated microgravity, allowing the measurement of not only growth curve parameters but also metabolic activity, gene expression, or community dynamics. It thus has the potential to improve the quality of experiments seeking to characterize microbial responses to spaceflight conditions.

microbiology↗

bioRxiv2026

Clinical and molecular characterization of an outbreak of leptospirosis in dogs from Los Angeles County, California, USA, 2021

BackgroundIn 2021, the Los Angeles County (LAC) Department of Public Health suspected a leptospirosis outbreak in LAC affecting over 200 client-owned dogs. ObjectiveTo characterize the outbreak and describe microbiologic findings, risk factors, diagnostic test performance, and outcomes in dogs diagnosed with leptospirosis at two specialty practices. MethodsLeptospira culture isolates from four cases were subjected to serotyping and whole genome sequencing (WGS); WGS was also performed on one enriched genome isolate. After the outbreak, data were gathered on 59 cases through record review and compared to the background hospital population (controls, n=15,536). ResultsAll isolates were Leptospira interrogans serovar Canicola, but each was distinct based on WGS. Cases clustered in space and in time. Cases evaluated during the outbreak peak had increased odds of exposure to indoor congregate facilities (ICFs). None of 47 dogs with known leptospirosis vaccination history were completely vaccinated. Leptospira real-time PCR on blood and urine and initial serologic testing using the microscopic agglutination test and point-of-care tests were positive in 15/56 (27%), 49/54 (91%) dogs, 22/29 (76%), and 27/35 (77%) dogs respectively. Fifty-four (92%) of 59 dogs survived to discharge; some remained azotemic. No associated human cases were identified. Conclusions and Clinical ImportanceL. interrogans serovar Canicola was associated with a leptospirosis outbreak in unvaccinated dogs from LAC, which had public health implications given widespread dog ownership rates. Data analysis suggested multiple infection sources, including ICFs. Urine PCR was the most sensitive diagnostic test. Such outbreaks might be prevented through more widespread vaccination.

microbiology↗

bioRxiv2026

ONETest PathoGenome: A Multi-Cohort Evaluation of an Optimized NGS Assay for Detection of Lower Respiratory Pathogens in Bronchoalveolar Lavage

BackgroundLower respiratory tract infections (LRTIs) remain diagnostically challenging when culture and molecular assays are negative or delayed. We evaluated ONETest Pathogenome (OT), an automated hybrid-capture metagenomic assay with core-genome enrichment probes, for direct pathogen detection in bronchoalveolar lavage (BAL). MethodsAnalytical performance (LoD, precision, continuity) was assessed using whole-cell spike-ins into culture-negative BAL fluid. Technical performance was assessed in 119 specimens profiled by OT and whole-metagenome shotgun sequencing (WmGS, cohort 1). Clinical accuracy was evaluated in 360 specimens (cohort 2) benchmarked against routine bacterial and acid-fast bacillus (AFB) culture. Laboratory-developed test (LDT) validation included 43 specimens (cohort 3) benchmarked to bacterial and AFB culture. ResultsOT uses 6.2 million probes covering core genomes across 50 microbial families (>250 respiratory pathogens). In BAL specimens, OT increased normalized on-target microbial abundance 26-fold versus that of WmGS while preserving within-sample microbial diversity. In cohort 2, OT achieved species-level sensitivity of 80% and specificity of 99% across culture-confirmed isolates and detected [≥]1 culture-confirmed organism in 100/115 culture-positive specimens (87%), while applying species-specific background baselines to mitigate overcalling. Additive yield was 21% (76/360), with 7.5% (27/360) of specimens having [≥]1 additional finding supported by orthogonal testing. In LDT validation, OT identified [≥]1 culture-confirmed organism in 34/40 culture-positive specimens (85%) with one OT-positive/culture-negative specimen. ConclusionsOT is an assay with a turnaround time <24 h complementary to culture that improves pathogen detection and expands microbiologic findings through additional detections and co-detections, including slow-growing organisms that may require prolonged incubation by conventional methods.

microbiology↗

bioRxiv2026

Novel but stable endosymbionts have contrasting effects on aphid dispersal and plant feeding damage in the cereal pest Diuraphis noxia

Endosymbiotic bacteria can affect many ecological attributes of their insect hosts, including (in herbivorous insects) how insects interact with plants where they feed. This raises the issue of whether deliberate endosymbiont introductions could be used to decrease crop damage caused by insect pests. Here we investigate how transinfecting Rickettsiella viridis and Regiella insecticola endosymbionts into a novel pest aphid host, the Russian wheat aphid (Diuraphis noxia), influences population growth, alate production, dispersal ability and crop damage. Both the Rickettsiella (originating from pea aphids) and Regiella (from green peach aphids) were stably maintained in their new host where they had contrasting effects. Rickettsiella increased the severity of aphid damage on wheat and barley, resulting in greater leaf loss, chlorotic streaking, and higher aphid populations, whereas Regiella reduced aphid population growth and the severity of feeding damage by aphids. Their effects on dispersal morphology also differed: Regiella had no detectable impact on alate incidence, while Rickettsiella consistently suppressed wing formation in small cages, and in larger mesocosms with multiple wheat plants this endosymbiont suppressed dispersal. Endosymbiont-mediated changes in feeding damage did not involve the main plant immune response pathways: transinfected and wild type aphids induced similar levels of jasmonic acid, jasmonic acid-isoleucine, and salicylic acid in plant tissues, even though these plant defenses were strongly activated during aphid feeding. Novel endosymbionts can therefore modulate the severity of plant feeding damage by aphids as well as influencing aphid dispersal. Potential applications in controlling pest D. noxia populations are discussed. Significance statementEndosymbiotic bacteria that live within insect cells can have wide-ranging effects on the reproduction and fitness of their insect hosts in different environments. In herbivorous insects this includes effects on host plant use. Here we test if novel endosymbionts in a pest aphid, the Russian wheat aphid, might be used to decrease crop damage and dispersal. We show that the damage caused to wheat and barley plants from aphid feeding is modulated by novel but stably transmitted introduced endosymbionts. One endosymbiont (Rickettsiella) increased the severity of damage but decreased aphid dispersal, while another (Regiella) decreased damage severity without impacting dispersal. These contrasting effects may be associated with changes in aphid population growth and wing formation but were not linked to key plant immune response pathways. We discuss implications of these findings for using endosymbionts in agricultural pest management. Classification: Applied Biological Sciences, microbiology

microbiology↗

bioRxiv2026

Ion Mobility-Enhanced Liquid Chromatography Coupled with Mass Spectrometry (LC-MS) Enables Reliable Detection of OXA-48-Like Carbapenemases Beyond Conventional Activity-Based Assays

Carbapenemases are major drivers of carbapenem resistance in Gram-negative bacteria and pose a critical threat to last-line antibiotic therapy. Rapid identification of carbapenemase classes is essential for appropriate treatment and epidemiological surveillance; however, current functional methods lack class-level resolution and may yield false-negative results for OXA-48-like enzymes. In this study, we developed and validated an assay based on liquid chromatography-mass spectrometry with trapped ion mobility spectrometry-time-of-flight [LC-MS (timsTOF)] for simultaneous detection and class-level differentiation of five clinically relevant carbapenemases (KPC, NDM, VIM, IMP, and OXA-48-like). The method employs three carbapenem substrates (meropenem, imipenem, and ertapenem). A total of 55 clinical isolates were analyzed using a standardized 2-hour incubation protocol, with a total analysis time of 7 min per sample. Ion mobility enabled unambiguous identification of the OXA-48-specific meropenem-derived {beta}-lactone based on its distinct collisional cross-section (185 [A]{superscript 2} vs. 191 [A]{superscript 2} for intact meropenem), despite identical mass and nearly identical retention time. This marker was detected in all OXA-48-like producers and was absent in all other groups. In contrast, imipenem and ertapenem did not provide comparable discrimination, highlighting the central role of meropenem. Distinct hydrolysis profiles enabled class-level differentiation supported by multivariate analysis. LC-MS (timsTOF) thus enables rapid, sensitive, and specific functional detection of carbapenemases within a single workflow. The ion mobility dimension is critical for accurate identification of OXA-48-like enzymes and supports the potential implementation of this approach in routine clinical microbiology laboratories. ImportanceThis study introduces an ion mobility-enabled LC-MS (timsTOF) approach for functional detection and class-level differentiation of clinically relevant carbapenemases within a single analytical workflow. By leveraging collisional cross-section measurements, the method enables reliable identification of OXA-48-like carbapenemase through detection of a meropenem-derived {beta}-lactone that is indistinguishable by mass alone. This directly addresses a major diagnostic limitation of conventional activity-based assays, which may yield false-negative results for OXA-48-like enzymes. The approach further demonstrates the potential of integrating ion mobility into routine clinical mass spectrometry to enhance specificity beyond traditional mass and retention time measurements. These findings support the development of next-generation diagnostic strategies capable of detecting both known and emerging resistance mechanisms without reliance on predefined targets.

microbiology↗

bioRxiv2026

Synergistic Antibiotic Activity and Integrated Genomic-Metabolomic Profiling of Patch - and Plaque -Derived Staphylococcus aureus in Mycosis Fungoides

Mycosis fungoides (MF), the most common form of cutaneous T-cell lymphoma, is frequently accompanied by skin dysbiosis, with advanced lesions often dominated by multidrug-resistant Staphylococcus aureus. Increased S. aureus colonization is associated with clinical complications and accelerated disease progression, emphasizing the urgent need for effective antimicrobial strategies and a deeper understanding of bacterial adaptation to MF lesions. Here, we evaluated synergistic antibiotic combinations and performed integrated phenotypic, genomic, and metabolomic profiling of MF-associated S. aureus isolates derived from patch and plaque lesions to understand virulence and pathogenicity driving mechanisms in microbe-host interactions. Several antibiotic combinations, most notably carbenicillin with either gentamicin or levofloxacin, exhibited strong synergy and restored antimicrobial activity against highly resistant strains. Comparative genomic analyses revealed that plaque-derived isolates carried expanded resistomes and virulence repertoires, including increased enterotoxins, immune-evasion, and stress-response factors, whereas patch-derived isolates encoded more genes linked to interbacterial competition, such as accessory components of the T7SS. Metabolomic profiles further supported these findings: plaque isolates produced metabolites linked to host interaction, dysbiosis, and inflammation, whereas patch isolates showed profiles consistent with ecological competition. In summary, this work provides insight into the distinct adaptation strategies of S. aureus across MF disease stages. The differential virulence and resistance repertoires observed between patch- and plaque-derived isolates suggests progressive adaptation toward the host microenvironment, potentially influencing disease progression and patient outcomes. Additionally, our findings identify synergistic antibiotic combinations as promising therapeutic approaches for targeting multiresistant MF-associated S. aureus. Importance StatementThe role of multidrug-resistant Staphylococcus aureus in worsening clinical outcomes of mycosis fungoides remains poorly understood, despite its frequent dominance in advanced lesions. Bridging the gap between clinical observation and microbiological mechanisms is essential for clarifying how S. aureus (SA) persists within MF skin and for identifying therapeutic alternatives for SA-positive patients, where treatment options remain limited. This study sheds light on two major clinical needs: the lack of effective antibiotic strategies and the limited insight into bacterial factors that may accelerate MF progression. By integrating synergistic antibiotic testing with genomic, phenotypic, and metabolomic profiling, our work provides insight into stage-specific adaptation patterns of MF-associated S. aureus. These findings identify promising therapeutic directions and establish a framework for future studies to understand the role of S. aureus in MF pathogenesis and exploring how its effects may be therapeutically mitigated.

microbiology↗

bioRxiv2026

Thermoaminiphila catenidiffluenda gen. nov., sp. nov.: A novel thermophilic, strictly anaerobic bacterium representing Thermoaminiphilia class nov., a newly described class thriving in hydrocarbon-rich habitats and biogas fermenters

Axenic cultivation of novel bacterial lineages, referred to as "gold standard in microbiology", remains challenging for fastidious or uncultured taxa due the challenges of replicating adequate growth conditions. We isolated strain PM69, a representative of the previously undescribed Bacillota class SHA-98, from a phenyl acid degrading, oligotrophic batch culture. By employing a broad spectrum of (anaerobic) culture techniques, biochemical, physiological, and genomic analyses, we characterised the strain as Thermoaminiphila catenidiffluenda, gen. nov., sp. nov., a thermophilic, strictly anaerobic, bacterium fermenting monosaccharides to acetate. Its motility, biofilm forming capacity, and ecological niche in biogas fermenters and hydrocarbon-associated habitats suggest adaptive strategies for harsh environments exhibiting e.g., high concentrations of aromatic compounds. This description of a new bacterial class not only expands the taxonomic diversity of phylum Bacillota but also provides insights into the metabolic versatility of yet uncultured microorganisms, with implications for carbon cycling and biotechnological applications. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/718153v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@1501615org.highwire.dtl.DTLVardef@d9cfd6org.highwire.dtl.DTLVardef@1dc019borg.highwire.dtl.DTLVardef@ed6f3f_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2026

Epistatic interaction between ribosome-associated Era GTPase and stringent response regulator RelA modulates bacterial cell growth and dormancy

Cellular homeostasis is sustained by balancing the cell growth and quiescence in response to specific environmental cues. While the mechanisms governing the transition from growth to dormancy are reasonably well understood, the processes underlying exit from dormancy remain poorly characterised. Using an integrated approach employing bacterial genetics, Cryo-EM, and molecular microbiology, we investigated this phenomenon by studying the cross-talk between two antagonistic pathways, ribosome biogenesis that promotes cell growth, and stringent response that induces dormancy. We show that the exit from dormancy requires a conserved Era GTPase whose synthesis selectively rises during onset of exponential growth phase in Escherichia coli. Era not only accelerates the maturation of head and platform regions of 30S ribosomal subunit but also dislodges RelA from 70S ribosome. This derepresses the 70S ribosome from RelA-mediated inhibition, and promotes protein synthesis driving the active cell growth. This study uncovers that temporal epistatic interaction between Era and RelA governs cellular resuscitation in bacteria. Given that the dormant bacterial populations contribute to antibiotic tolerance, understanding this regulatory axis offers new insights for resensitising the recalcitrant dormant bacteria to antibiotics.

microbiology↗

bioRxiv2026

Isolation of folate-producing probiotics and its regulatory effects on homocysteine metabolism and gut microbiota composition

BackgroundFolate deficiency is a global nutritional problem associated with multiple adverse health outcomes, including impaired one-carbon metabolism and elevated homocysteine levels (hyperhomocysteinemia). Gut microbiota-mediated folate biosynthesis has emerged as a promising strategy for improving host folate status. This study aimed to isolate folate-producing probiotic strains, clarify their folate synthesis mechanisms, and evaluate their regulatory effects on folate metabolism and gut microbiota in folate-deficient mice. MethodsHigh-throughput cultivation and screening were performed to isolate folate-producing probiotics. Whole-genome sequencing, pathway reconstruction, and metabolite profiling in fermented milk were used to explore folate biosynthesis pathways and potential microbial cross-feeding interactions. A folate-deficient mouse model was established to evaluate the effects of a probiotic cocktail on serum folate, homocysteine (Hcy) levels, and gut microbiota composition using microbiological assays, biochemical analyses, qPCR, 16S rRNA gene sequencing, alpha diversity analysis, principal coordinates analysis (PCoA), and Linear discriminant analysis Effect Size (LEfSe) analysis. ResultsOver 1,000 bacterial isolates were obtained, and over 10 strains, mainly belonging to Lactobacillus, Bifidobacterium, and Bacillus, showed folate production levels above 100 ng/mL. Genomic analysis revealed that most selected probiotic strains lacked genes involved in para-aminobenzoic acid (pABA) biosynthesis but retained downstream folate synthesis modules, suggesting a potential dependence on pABA-producing gut commensals for precursor supply through microbial cross-feeding. In fermented milk, probiotic strains mainly produced bioactive folates (5-MeTHF and THF), with strain-specific production capacities; L. plantarum, W. coagulans, and B. animalis subsp. lactis significantly increased 5-MeTHF levels in fermented milk. In vivo, high-dose probiotic intervention significantly elevated serum folate (p<0.01) and reduced Hcy (p<0.05) in folate-deficient mice, while medium-dose intervention showed no significant effects. The probiotic strains colonized the mouse gut in a dose-dependent manner: high-dose group exhibited >4,000-fold increase in relative abundance (Bifidobacteriaceae and Bacillaceae enriched), medium-dose group only enriched Bacillaceae, and low-dose group showed no effective colonization. High dose probiotic treatment enhanced gut microbial species diversity (increased Shannon index) and restored folate deficiency-induced gut microbiota dysbiosis (PCoA clustering closer to normal group). ConclusionThis study screened high folate-producing probiotic strains and demonstrated their ability to synthesize active 5-MeTHF, which may rely on microbial cross-feeding in gut microbiota. Furthermore, we demonstrated that folate-producing probiotic intervention significantly improves folate status and Hcy metabolism and restores gut microbiota homeostasis in folate-deficient mice. These findings suggensted that such probiotics could serve as a safer, more physiological intervention for folate deficiency and hyperhomocysteinemia, especially in populations with MTHFR polymorphisms.

microbiology↗

bioRxiv2026

Deciphering the microbial contributors to methane cycling in coastal wetlands

Although wetlands are increasingly recognized as important contributors to the global methane budget, the microorganisms and processes involved methane cycling are poorly characterized, particularly in coastal brackish and saline systems. Here, we investigated microbial and geochemical factors contributing to methane dynamics in three coastal wetlands with different salinities, dominant vegetation types, and soil chemical characteristics. These included a freshwater flotant marsh, a cypress swamp, and a mesohaline salt marsh. Specifically, we paired methane porewater concentrations, surface fluxes, geochemistry, and 16S rRNA gene sequencing to address how microbial community composition links to porewater concentrations and its potential effects on emissions. We found that porewater methane concentrations across sites were the highest in the swamp, followed by the salt marsh and the flotant marsh, and were explained by methanogen richness and abundance. While methane-cycling microbial communities were significantly structured by salinity, two microbial taxa (Methanosaeta and Methanomicrobiaceae) were present across all sites. Hydrogenotrophs were the most abundant methanogen functional group, with Methanomicrobiaceae and Methanobacterium discriminant among wetlands. In contrast, methanotroph functional types varied among wetlands. Type I dominated the freshwater flotant marsh, while the anaerobic methanotrophic archaea the saltwater marsh. These findings contribute to an enhanced understanding of the microbiological contributions to methane emissions from coastal wetlands. Scientific Significance Statement TopicThis study provides critical insights into the microbial and geochemical controls on methane emissions across coastal wetlands along a salinity gradient. Challenging the prevailing paradigm, methane porewater concentrations did not inversely correlate with salinity, as the swamp site with intermediate salinity exhibited the highest concentrations. Methanogen richness and abundance emerged as strong predictors of methane concentrations, while methanotroph richness had no predictive value. Two core methanogens, Methanosaeta and Methanomicrobiaceae, were consistently present across all wetland types. The findings highlight potential role of the water column as a biological methane filter, especially in saline environments. This study significantly advances the understanding of methane cycling in coastal wetlands by decoupling methane emissions from salinity gradients and emphasizing the role of microbial communities and local environmental factors. These insights are essential for refining biogeochemical models to forecast greenhouse gas emissions under sea-level rise and saltwater intrusion scenarios. Scientific Significance Statement OutletThis work integrates microbial ecology, geochemistry, and ecosystem structure to address interdisciplinary questions relevant to the limnological community. Here, we reveal how microbial community composition, rather than salinity alone, predicts methane emissions, offering a fresh perspective into carbon cycling in estuarine and coastal environments. The findings also provide critical insights for improving greenhouse gas emission models to predict climate change feedback from coastal areas.

microbiology↗