mSphere

BackgroundGut microbiome disruption is often characterized by loss of obligate anaerobic bacteria, which may lead to altered production of microbial metabolites that can be detected peripherally. The application of widely used sequencing-based microbiome analyses to clinical settings is limited by cost, turnaround time, and challenges with patients with very low stool output. Since some products of strictly bacterial metabolism detectable in blood, peripheral metabolites may provide a potentially rapid and scalable indicator of gut microbiome composition and function. We performed a systematic review and meta-analysis of studies reporting circulating microbial metabolites and gut microbiome composition to evaluate whether peripheral microbial metabolites could identify gut microbiome perturbation. ResultsCandidate metabolites were identified systematically across an independent set of studies reporting metabolite-microbiome associations, enabling assessment of reproducibility across disease states and cohorts. We performed a meta-analysis of 19 human cohorts comprising 3242 participants with paired blood metabolite and stool microbiome data. Anaerobe depletion (obligate anaerobe relative abundance <0.70 by sequencing) was associated with decreased products of anaerobic microbial metabolism. Combinations of metabolites distinguished individuals with anaerobe-depleted microbiomes from those without. Circulating metabolite levels distinguished between cases and controls with similar performance as gut microbiome composition across a range of health/disease states, and changed markedly within patients experiencing gut anaerobe depletion after antibiotic exposure. ConclusionsCirculating microbial metabolites are potentially informative indicators of gut microbiome disruption and may serve as a rapid and method for patient stratification in clinical trials or acute care settings. ImportanceCirculating microbial metabolites represent a practical and scalable approach to detecting significant gut microbiome disruption, particularly loss of obligate anaerobes. Unlike stool-based sequencing, which can be logistically challenging and slow, blood-based metabolite profiling could be actionably integrated into existing clinical workflows. Our findings suggest metabolites capture compositional consequences of microbiome collapse, with performance comparable to direct microbiome profiling in distinguishing disease states. Enabling diagnostic enrichment and real-time monitoring of microbiome injury (e.g., during antibiotic use or critical illness) has potential implications for both clinical care and research, including selection of patients for investigation of microbiome-targeted therapies. With further validation, circulating metabolites could provide an accessible surrogate for gut microbiome composition in settings where sequencing is impractical.

Corynebacterium bovis, the cause of Corynebacterium-associated hyperkeratosis (CAH), is an important pathogen in immunocompromised mice that is difficult to eliminate and can confound research outcomes. We recently observed that CAH severity varies among outbred athymic nude mouse stocks, but the relative contributions of host genetics and the microbiome remain unclear. We hypothesized that disease course and severity vary based on host genetic stock and/or microbiome composition. Three nude mouse stocks were rederived into the axenic state and either monoinfected with a pathogenic C. bovis isolate (104; CFU) or given sterile media (n=6/group). Axenic mice were also reassociated with their source microbiome or microbiomes from three other stocks with known differences in CAH severity, then inoculated with C. bovis (n=6) or sterile media (n=2). In a separate experiment, one axenic stock was used to assess the role of C. amycolatum via monoinfection, monoinfection followed by C. bovis challenge, or addition to a nonprotective microbiome followed by C. bovis challenge. Mice were monitored daily for 21 days and scored for skin lesions (0-5). C. bovis monoinfected mice developed disease comparable in severity and timing to conventionally raised controls. Notably, reassociation with Vendor A2s microbiome prevented clinical lesions and reduced histopathologic changes across all stocks. While C. amycolatum as a monoinfection did not cause disease nor reduce disease severity following C. bovis challenge, it delayed the onset and lowered peak scores when added to a non-protective microbiome. These findings demonstrate that C. bovis can cause CAH as a monoinfection, that both host genetics and microbiome composition influence disease progression, and, together with prior work, support its role as the etiologic agent consistent with Kochs postulates. Identifying protective microbiome constituents may inform strategies to reduce disease burden in susceptible mice.

Nakaseomyces glabratus is a globally distributed opportunistic fungal pathogen. An ongoing discussion in studies of N. glabratus population structure has been whether genetic clusters are best defined using multilocus sequence typing (MLST) or short-read whole-genome sequencing (WGS). To assess the concordance between MLST- and WGS-based phylogenies, we analyzed a dataset of 548 N. glabratus WGS sequences from 12 countries. Clusters identified from WGS largely recapitulated the MLST-defined sequence type (ST) groups: fourteen WGS clusters were composed of a single MLST ST, and the remaining contained STs with very closely related MLST profiles. We thus propose a pragmatic naming convention, consistent with the system used in other microbial species, which specifies WGS cluster labels based on the primary ST. From the large WGS isolate dataset, we determined the prevalence of admixture and genomic variants. Interestingly, seven of the nine singleton isolates were admixed, in addition to 58 isolates from six different clusters. Aneuploidy was detected in 4% of isolates, most commonly in chrE, which contains ERG11, the gene encoding the enzyme targeted by azole antifungals. Aneuploid chromosomes did not exhibit elevated heterozygosity relative to the sequencing error rate, consistent with instability of extra chromosome copies. Copy number variants were found in 3% of the isolates; some of the CNVs co-occurred with aneuploidies, and were primarily identified on chrD, chrE, chrI, and chrM. Our findings demonstrate that deep splits between clusters preserve the utility of MLST ST designations for clade-level designation, yet underscore the utility of WGS for high-resolution genomic analyses. Article SummaryThere is an ongoing debate in studies on Nakaseomyces glabratus about whether traditional MLST analysis is sufficient to determine population structure, or whether the precision of whole genome sequencing (WGS) is necessary. We analyzed WGS data from 548 isolates from around the world. We found a very strong agreement between the two methods. We propose a hybrid naming system, where cluster names are based on the dominant MLST group. We used the WGS data to show that admixed isolates, and those with extra chromosomes or CNVs are rare (<7% of isolates in each class) and are distributed throughout the phylogeny.

Characterizing the household bacterial microbiome allows for a stronger understanding of the various microbes that a person is exposed to everyday in their home. Exploring household microbiomes in different countries around the world increases - our understanding of the impact cultural differences might have on niche microbial communities in the house. The goal of this study was to use shotgun metagenomics to characterize the microbiome for ten locations around the home in ten different houses from three different countries (Mysuru, India; Dubai, United Arab Emirates (UAE); and Tucson, United States of America (USA)). There was a significant difference in alpha diversity between the three countries (ANOVA, p<0.05) with homes in Mysuru, India showing significantly higher bacterial diversity compared to Dubai, UAE and Tucson, AZ, USA. Beta diversity analysis of the homes found that bacterial communities significantly differed between cities (PERMANOVA, p<0.01) and within cities by household locations (PERMANOVA, p<0.001). Locations such as underneath the toilet rim, bathroom and kitchen sinks had the highest levels of bacterial diversity across the three cities compared to other sampling areas. A core microbiome of Actinomycetes and Gammaproteobacteria was found in all homes in all three cities. Within each city, a core microbiome was identified at the species level within specific household locations in each city. Over 90% of bacterial taxa found in the homes were a part of the human-associated phyla Actinomycetes (eg. genera Brevibacterium, Corynebacterium, and Microbacterium), Pseudomonadota (eg. genera Acinetobacter, Moraxella, Pantoea, Paracoccus, and Psuedomonas), and Bacillota (genus Streptococcus), which was comparable to previous studies. The household microbiome is variable in different locations in the house and on a global scale. Factors such as human activity, cultural practices, climate, and surface type and use may drive this diversity. Characterizing the household microbiome on a global scale allows for a better understanding of what drives microbial diversity, increasing our understanding of how microbial communities are shaped by the environment and how humans influence their dynamics, as well as any risks to human health that the built microbiome may potentially pose. Impact StatementThis research contributes to the understanding of the built microbiome, specifically how it varies within the house, within cities, and across the globe. This can aid in our understanding of microbial dynamics in environments with heavy human influence and help develop and improve hygiene habits and products which are mindful of the existing microbiome. Data SummaryDNA sequence data from this research is publicly available on the NCBIs Sequence Read Archive under BioProject PRJNA1416920. Data was analyzed using python and R code. Analysis protocols and information on software versions, packages, and more can be found within the text and in the following github repository: https://github.com/carolinescranton01/Global_Household_Microbiome. The authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files.

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.

Secreted virulence factors (e.g., hydrolytic enzymes, toxins, agglutinins) play an important role in human diseases. Nevertheless, their secretion by some pathogenic fungi, especially some virulent Candida-related species such as Candidozyma auris, is still only partly characterized. Here we used high-throughput mass-spectroscopy analysis to identify polypeptides secreted by C. auris into growth medium under two physiologically relevant pH conditions: pH 5.5 and pH 7.5. This analysis revealed that many secreted polypeptides belong to putative virulence factors and enzymes involved in cell wall biogenesis. Moreover, we found that 13 and 27 polypeptides were detected only at pH 5.5 or pH 7.5, respectively. Furthermore, our findings indicate that lower pH (pH 5.5) favours secretion of several putative virulence factors including aspartic proteases and polypeptides potentially facilitating host-pathogen interactions. In contrast, the majority of polypeptides detected only at pH 7.5 are involved in N-glycosylation and protein folding. Thus, this secretome analysis reveals numerous C. auris polypeptides with putative roles in infection and host-pathogen interactions. Moreover, their differential secretion at pH 5.5 and pH 7.5 may reflect different strategies used by C. auris to elicit infections in different anatomical sites.

Recent advances in high-throughput sequencing and novel culture techniques have revolutionized our understanding of the human microbiota. However, most studies primarily focused on bacterial communities, often overlooking the fungal component. Building upon our previous metagenomic analysis of the Inuit oropharyngeal microbiome 1, this study used culturomics to provide a more comprehensive view of both bacterial and fungal communities. We analyzed oropharyngeal swabs from the Qanuilirpitaa? 2017 Inuit Health Survey 2, demonstrating the complementarity of metagenomic and culturomic approaches. Our findings highlight the importance of culturomics in revealing low-abundance microorganisms, particularly fungi, which are often underrepresented in metagenomics data. Moreover, we designed an approach to isolate previously uncultivated species. We described two Pauljensenia sp., and provided insights into the phylogenetic relationship between Schaalia and Pauljensenia genera. This study underscores the necessity of a holistic approach to microbiome research, combining multiple techniques to fully elucidate microbial diversity in unique populations like the Inuit.

Yeasts ability to invade surfaces has important implications for infections and food contamination. Invasive growth in yeast is influenced by genetic and environmental factors. In this exploratory study, we investigated the effects of sodium sulfide, gene deletions, and environmental conditions on the invasive behaviour of the wine yeast strain AWRI 796. Sodium sulfide enhanced invasion in the (parent) AWRI 796 strain under nitrogen-limiting conditions, although its effect was obscured by experimental variability and pre-culture conditions. Genetic factors had a major effect on the overall invasive phenotype, with deletion of key genes suppressing invasion. Most gene-deletion mutants did not significantly affect how the colony responded to sulfide. In addition to sulfide and genotype, environmental conditions also influenced invasive behaviour. The pre-2xSLAD pre-culture condition was best for detecting sulfide-induced growth, and later plate washing time and decreased nutrient levels enhanced invasiveness. Our experimental design and findings provide a framework for understanding the determinants of yeast invasiveness, which may inform future studies on filamentous yeast behaviour.

Toxoplasma gondii is a widespread human pathogen that has multiple, clinically relevant stages in its complex life cycle, including fast-replicating tachyzoites and latent bradyzoites. Bradyzoite differentiation is triggered by stress responses that lead to changes in transcription, translation, and metabolism. Two aspects of this process are addressed in this report: first, whether proteins that play roles in bradyzoite differentiation are specific to T. gondii and other bradyzoite-forming parasites of the Sarcocystidae family, and second, whether new bradyzoite differentiation proteins can be identified in T. gondii. To answer these questions, a phylogenetic approach was used, comparing proteomes of select members of the Sarcocystidae family that form morphologically different bradyzoite cysts and members of the Eimeriidae family that do not form cysts. This approach resulted in 8 distinct clusters of T. gondii proteins that reflected different conservation patterns; for example, one cluster showed conservation among all organisms, while another showed conservation in bradyzoite cyst-forming organisms. Known T. gondii proteins involved in bradyzoite differentiation were found in all clusters, indicating that this process uses both highly conserved pathways as well as bradyzoite-specific pathways. Importantly, the cluster containing proteins that are conserved in bradyzoite-forming organisms contained several known regulators of bradyzoites, and will be a source for identifying novel T. gondii proteins that are involved in bradyzoite differentiation.

Epitranscriptomics has recently gained significant momentum due to technological advances and translational applications, however, studies on bacterial RNA modifications remain limited. Bacterial RNA remains notoriously prone to degradation and methodologies to investigate the epitranscriptome are challenging. Prior research has shown RNA modifications modulate antimicrobial resistance, virulence and pathogenicity. This research employed CRISPR interference to knock down five known Escherichia coli rRNA modification genes (rlmF, rlmJ, rluD, rsmF and rsmG) in three E. coli strains. These isolates underwent growth curves, proteome analysis and native RNA sequencing CRISPRi adequately silenced the majority of RNA modification genes in E. coli (>80% reduction). Significant growth delays were associated with rlmF, rsmF and rsmG repression. Unique protein pathways corresponding with RNA modification loss were found for rlmJ (TreB, XylF), rluD (CysH, HycB, PutP, TrpB), rsmF (EvgA) and rsmG (OppC). Known rRNA modification sites for rluD ({Psi}) and rsmG (m7G) were detected from analysis of nanopore electrical signal, however, only a weak signal was apparent for m6A (rlmF, rlmJ) and m5C (rsmF) modifications. The inhibition of rRNA modifications resulted in mRNA modification changes including for genes ompC, cspC, dbhA, dbhB and secY. Our work provides an approach for unravelling the epitranscriptome of E. coli and gain insight into its functional role.

1Canine atopic dermatitis (CAD) is a chronic inflammatory skin condition sometimes associated with microbial dysbiosis, including alterations in colonization by the lipophilic yeast Malassezia pachydermatis. This study investigated the population diversity of M. pachydermatis in the ear canals of healthy and CAD-affected dogs using Fourier-transform infrared (FTIR) spectroscopy and whole genome sequencing (WGS). Among 60 dogs, M. pachydermatis prevalence was significantly higher in CAD cases than in healthy controls. FTIR spectroscopy revealed greater strain heterogeneity in CAD-affected dogs, often with distinct genotypes in each ear, while healthy dogs exhibited more homogeneous populations. Using a previously developed FTIR-based artificial neural network classifier, we assigned strains to three phylogroups. Strains from phylogroups I and III were significantly enriched in CAD-affected dogs, while phylogroup II was most prevalent overall and the dominant phylogroup in healthy controls. This suggests that CAD-associated inflammation may favor specific M. pachydermatis phylogroups and sub-clusters within phylogroups, shaping colonization dynamics. FTIR-based typing showed full concordance with WGS across 35 sequenced isolates, recapitulating relationships among phylogenetically related isolates and their similar phenotypic profiles. Overall, our findings reveal strain-level shifts in M. pachydermatis populations associated with CAD and establish FTIR spectroscopy as a rapid, cost-effective tool for large-scale epidemiological studies.

Staphylococcus aureus is a leading cause of biofilm-associated infections, in which communities of bacterial cells are encased in an extracellular matrix composed of polysaccharides, proteins, and extracellular DNA (eDNA) that protect bacteria from host immune defense and antibiotics. Despite their importance, the mechanisms by which matrix components are released from bacterial cells and incorporated into the biofilm matrix remain poorly understood. Using a drip-flow biofilm system, we showed that MVs were associated with the biofilm matrix formed by S. aureus clinical isolate MN8. Proteomic analysis of biofilm matrix proteins and purified MVs showed that biofilm-derived MVs carried cytoplasmic, membrane, and extracellular proteins that closely resembled the protein composition of the biofilm matrix but differed significantly from MVs produced by planktonic cultures. Biofilm-derived MVs carried significantly higher levels of DNA than MVs from planktonic cultures, and MV-associated DNA was resistant to DNase treatment. Although strain MN8 is known to form polysaccharide-dependent biofilms, exogenously added DNase or proteinase K significantly impaired biofilm formation and integrity. Notably, these inhibitory effects were reversed by the addition of biofilm-derived MVs, which significantly restored biofilm formation in enzyme-treated cultures. Together, these findings provide evidence that S. aureus MVs are generated within biofilms, and that these MVs serve as an important resource of matrix components and contribute to biofilm formation. ImportanceExtracellular membrane vesicles (MVs) are important mediators of intercellular communication and have been implicated in the physiology and pathogenesis of bacterial infections. While MV production in S. aureus planktonic cultures has been recognized for over one decade, their presence and function in S. aureus biofilm formation have remained unexplored. Here, we report for the first time the purification and characterization of MVs derived from S. aureus biofilms. Our studies demonstrate that S. aureus MVs are important components of the biofilm matrix that contribute to biofilm formation by serving as key carriers of matrix proteins and eDNA. This work advances our limited understanding of MVs in Gram-positive bacteria and reveal a previously unrecognized mechanism underlying S. aureus biofilm formation.

In Toxoplasma gondii, microneme proteins (MICs) are secreted components of the apical complex that play central roles in motility, host cell attachment, and invasion. Because proteins at the host-parasite interface are often predicted to evolve rapidly, MICs have been suggested as candidates for adaptive diversification. We tested this expectation using comparative analyses of three relatively understudied microneme proteins, MIC13, MIC12, and MIC16. Coding sequences were assembled from GenBank and ToxoDB, aligned by translation, and analyzed using maximum-likelihood phylogenetics, codon-based tests of selection, and predicted protein structure. MIC13 was represented by 51 sequences, MIC12 by 30, and MIC16 by 34, spanning multiple T. gondii haplogroups and including Hammondia hammondi and Neospora caninum as outgroups. All three genes were highly conserved among T. gondii strains, but their phylogenetic trees were topologically incongruent, indicating that individual MICs do not recover a single shared strain history. Contrary to expectation, no positively selected codons were detected in any gene. Instead, purifying selection was detected at one site in MIC13 and 15 sites in MIC12, while no significant codon-specific selection was detected in MIC16. Several constrained MIC12 sites overlapped annotated EGF and calcium-binding EGF-like domains, consistent with structural conservation of extracellular adhesion modules. AlphaFold prediction of MIC13 supported two sialic acid-binding micronemal adhesive repeat regions, but the single constrained MIC13 site did not overlap these motifs. Together, these results indicate that MIC13, MIC12, and MIC16 are shaped more by sequence conservation and heterogeneous gene histories than by strong recurrent positive selection. These findings refine expectations for microneme evolution in T. gondii and highlight conserved domains that may be important for parasite invasion and future functional study.

BackgroundIdiopathic epilepsy (IE) is the most common chronic nervous system disorder of dogs, and its cause is poorly understood. Emerging evidence suggests that microbiome alterations can occur with IE via the microbiota-gut-brain axis. Therefore, we analyzed the fecal microbiomes of 98 dogs (49 IE, 49 control) in a pairwise case-control observational study using 16S rRNA gene sequencing. ResultsAlthough the microbial community was mostly similar between groups, IE was associated with a modest but significant shift in Weighted-Unifrac distance (P = 0.042). We used six differential abundance (DA) methods to identify differentially abundant amplicon sequencing variants (ASVs) between IE and control groups. Notably, one Collinsella ASV was found to be significantly more abundant in IE dogs by all six methods. The gut microbial compositions varied drastically across households (accounting for about 69% of the total variation), but did not have significant differences between sex, age, or breed. Phenobarbital administration in IE dogs had a significant effect on seizure control, and was not associated with changes in the microbiome. ConclusionOur findings suggest a relationship between gut microbiomes and IE. However, the specific mechanism needs to be further investigated.

Myrmecocystus honeypot ants rely on specialized workers, repletes, to store dissolved carbohydrates in their crops long term. The repletes store this liquid, which does not spoil in their crops, for many months at a time. When resources are scarce, repletes redistribute the stored nutrients to their colony members via trophallaxis. While we suspect that the gut microbiome of honeypot ants may aid in spoilage prevention, before we can investigate this, we must first characterize it. Here, we used 16S rRNA gene sequencing to determine the microbial community composition across six Myrmecocystus honeypot ant species, sampling multiple colonies, castes, and organs. We found that microbiome community composition was strongly shaped by species, with variation between colonies in M. arenarius, M. depilis, and M. mexicanus. Organ level differences were observed in the crop and midgut in M. mexicanus. Caste differences were observed in M. flaviceps and M. mexicanus. Replete crops of M. mexicanus and M. depilis were enriched in Fructilactobacillus, other lactic acid bacteria, and acetic acid bacteria, whereas halophiles were more prominent in the gut of species such as M. flaviceps and M. wheeleri. In this study we demonstrate that Myrmecocystus ants host species-specific gut microbiomes and identify an association between lactic acid bacteria, acetic acid bacteria, and halophiles within replete crops. While much work remains in understanding the roles of the microbes in the symbiosis with their host ants, the dominance of these particular taxonomic groups suggests an association with a high sugar environment and a potential microbial role in preventing spoilage of the crop contents.

BackgroundBuilt environment microbiome studies have identified numerous factors that shape indoor microbiomes, yet the reproducibility of these findings across buildings, timepoints, and research groups remains unclear. Differences in sequencing protocols, sampling design, and environments pose major challenges for cross-study comparisons, particularly in low-biomass environments where technical variation can obscure biological signal. To address this gap, we constructed a simple ontology which groups samples into one of three categories: hand, hand-associated surfaces, and floor then applied it to four publicly available 16S rRNA gene datasets: a hospital, university dormitory, Air Force dormitory, and private residential houses. ResultsWe identified strong and reproducible separation between floors and surfaces with frequent human contact. We found that floors consistently harbored soil-associated taxa, including KD4-96, 67-14, Skermanella, and Sphingobacterium, whereas hands and hand-associated surfaces were enriched with skin-associated genera, such as Lawsonella and Cutibacterium. Within studies, these results were generally consistent across timepoints. Across studies, mixed-model PERMANOVA analysis revealed significant clustering by sample type, with modest effects of study, suggesting that biological signal outweighed differences in laboratory or sequencing methods. Leave-one-study-out random forest models achieved high AUCs for hand vs. floor comparisons (0.865 to 0.921), moderate AUCs for hand-associated vs. floor comparisons, and weaker performance for hand vs. hand-associated comparisons. Application of the batch-correction method DEBIAS-M did not improve effect sizes or classification performance, indicating that reproducible structure was already discernible without batch adjustment. ConclusionsDespite substantial temporal and environmental heterogeneity among studies, we found that the built environment microbiome has a reproducible bacterial signal. There was consistent enrichment of soil-derived taxa on floors and human-associated taxa on hands and hand-associated surfaces suggesting a stable microbiome despite differences in building type, occupancy, and methodology. These findings establish an important foundation for future studies, suggesting cross-study comparability, the accuracy of ecological inference, and the ability to support the development of predictive applications in indoor microbiome research.

Aspergillus fumigatus, an opportunistic human fungal pathogen, encodes numerous secondary metabolite biosynthetic gene clusters (BGCs) that are tightly regulated and often remain silent under standard conditions. Co-cultivation with Streptomyces rapamycinicus or treatment with the secondary metabolite from this species, the arginoketide azalomycin F, induce the otherwise silent fumicycline (fcc) BGC of A. fumigatus. To elucidate the underlying regulatory circuitry, we performed transcriptome analyses of A. fumigatus exposed to azalomycin F or co-cultured with S. rapamycinicus. Both conditions triggered a coordinated antibacterial response, characterized by induction of specific secondary metabolites and antibacterial effectors, alongside repression of other BGCs, including those for fusarinine C, pyripyropene A, and fumagillin. Among the most strongly induced genes was a zinc cluster transcription factor, designated SmpR for secondary metabolite multiple pathway regulator, which is conserved within Ascomycota. SmpR expression was selectively induced by azalomycin F, specific Streptomyces species and other bacteria isolated from soil such as Kribbella spp. and Arthrobacter spp.. Functional analyses revealed that SmpR is required for activation of the fumicycline BGC: its deletion reduced, whereas its overexpression enhanced fumicycline production independently of external stimuli. We further demonstrate that SmpR acts upstream of the pathway-specific regulator FccR and additionally controls multiple antibacterial BGCs, including those for hexadehydroastechrome, helvolic acid and xanthocillin. Together, our data identify SmpR as a key regulator coordinating antibacterial secondary metabolism in response to bacterial signals in A. fumigatus.

Mycoplasma synoviae is an avian pathogen that causes respiratory disease and synovitis, and its hemagglutinin plays a critical role in host cell adhesion. However, the key residues and structural mechanisms underlying hemagglutination remain unclear. In this study, domain analysis of the hemagglutinin family of Mycoplasma synoviae revealed that it contains long-chain and short-chain types, among which LAM HA (VY93_RS01465) was selected as the bait protein due to its complete C-terminal conserved domain. Through yeast two-hybrid screening, 18 host proteins interacting with LAM HA were identified. Furthermore, five key amino acid residues S83, R85, Y88, N124, and K192 were found to mediate hemagglutination activity. Deletion of these residues reduced the hemagglutination titer of LAM HA under acidic conditions. Secondary structure analysis showed that the deletion mutation decreased the -helix content while increasing the proportions of {beta}-sheet and random coil. Molecular dynamics simulations revealed that the mutant exhibited generally higher root mean square deviation and root mean square fluctuation values than the wild-type under different pH conditions, with a marked decrease in structural stability particularly at pH 5.0 and 6.0. These findings indicate that LAM HA, as a critical adhesin, exerts its hemagglutination function dependent on specific key residues and pH-sensitive conformational stability. IMPORTANCEMycoplasma synoviae (M. synoviae) causes significant economic losses to the poultry industry worldwide. Lipid-related membrane protein hemagglutinin (LAM HA) is a surface adhesin essential for host cell attachment, but its precise amino acid residues and structural features have not been defined. In this study, five key residues (S83, R85, Y88, N124, and K192) were identified as critical for LAM HA-mediated hemagglutination activity. Deletion of these residues altered the secondary structure composition, reduced conformational stability under acidic pH conditions, and decreased hemagglutination activity. These findings reveal a previously unknown structure-function relationship of M. synoviae LAM HA, demonstrating that its hemagglutination activity depends on specific residues and pH-sensitive structural integrity. This provides new insights into the molecular mechanisms of M. synoviae adhesion and offers potential targets for the development of novel intervention strategies against avian mycoplasmosis.

Phytophthora species are globally significant soilborne oomycetes responsible for widespread ecosystem decline. Standard soil sampling protocols, originally developed for qualitative baiting assays, typically require collecting substantial soil volumes in order to capture viable propagules. While effective for culture-based detection, these protocols are labour-intensive and can damage the shallow root systems of sensitive host species such as New Zealand kauri (Agathis australis). Phytophthora agathidicida (PA), the pathogen associated with kauri dieback disease, is routinely surveyed using these methods. However, quantitative data describing the vertical distribution of PA in natural forest soils are lacking. Consequently, it remains unclear whether extensive depth sampling is necessary to ensure consistent molecular detection. In this study, we applied a quantitative oospore DNA (oDNA) qPCR assay to characterise the fine-scale vertical distribution of PA across four soil depth increments (0-5, 5-10, 10-15, 15-20 cm) from 12 kauri trees representing a range of disease stages. Results revealed distinct vertical stratification, with PA DNA concentrations peaking within the upper 0-10 cm of soil in non-symptomatic and possibly symptomatic trees. In symptomatic trees, the absolute peak occasionally reached 10-15 cm, while pathogen signals remained consistently detectable within the top 10 cm. Field validation from an additional eight trees confirmed that targeted 0-10 cm "shallow" sampling yielded higher PA concentrations than deeper sampling protocols. These findings provide a data-driven basis for refining soil sampling strategies, enabling more sensitive molecular detection while minimising disturbance and logistical effort in fragile ecosystems. IMPORTANCEPhytophthora species are among the most destructive soilborne pathogens globally, requiring robust diagnostic protocols for both agricultural and conservation settings. Traditional sampling frameworks were established to meet the biological requirements of baiting assays, which often necessitate collecting large soil volumes from broad depth profiles to ensure the capture of viable, infectious propagules. However, these extensive requirements are labour-intensive and can cause significant soil disturbance in sensitive forest ecosystems. Using P. agathidicida as a model, this study provides a high-resolution quantitative assessment of how pathogen DNA is distributed vertically across different disease stages. We demonstrate that while absolute peak abundance can shift within the 0-15 cm range as infection progresses, the pathogen signal remains consistently detectable within the top 10 cm. This evidence-based approach suggests that targeted, shallow sampling enhances sensitivity by reducing signal dilution, offering a lower-impact path for monitoring soilborne oomycetes worldwide.

Bacteria use diverse mechanisms to interact with each other and with eukaryotic hosts, thereby shaping microbiome composition and influencing host health. One of these mechanisms is the production of outer membrane vesicles (OMVs), nanoscale structures that bud off from bacterial cells into the extracellular space. OMVs can deliver bioactive cargoes, including enzymes, RNA and DNA, enabling functions such as cell-to-cell communication, nutrient acquisition and immunomodulation. However, the role of OMVs in beneficial host-associated microbiomes remains unclear. Here, we investigated OMV production in the gut bacteria of the western honey bee (Apis mellifera), which forms a highly conserved and stable microbial community. Using electron microscopy, fluorescence labelling, and nanoparticle tracking analysis, we detected OMV production in every gram-negative species of the normal bee microbiota that we investigated. Vesicles were observed in gut contents of wild and laboratory-inoculated bees, but absent in bees lacking a microbiota. OMVs contained nucleic acids, with more RNA than DNA. Bacterial strains varied in OMV properties, including abundance, size, and zeta potential. These findings indicate that OMVs are likely significant mediators of interbacterial and host-microbe interactions in the bee gut.