Search Results (4,163)

The application of zinc oxide nanoparticles (ZnONPs) in agriculture is expanding due to their biostimulant potential; however, their influence on plant chemical communication and associated microbial communities remains not fully characterized. This study presents a multi-perspective analysis contrasting the effects of ZnONPs with those of conventional microparticulate ZnO (Bulk) on Capsicum annuum seedlings grown in substrate at 50 and 500 mg kg⁻¹. Results indicate that, at high doses, the bulk material (B500) led to higher foliar zinc accumulation (128.7 mg kg⁻¹) compared to ZnONPs (NP500, 119.7 mg kg⁻¹), a difference potentially linked to nanoparticle aggregation in the soil matrix limiting root uptake. At the physiological level, a distinct response was observed: while Bulk ZnO stimulated superoxide dismutase (SOD) activity, ZnONPs resulted in a marked reduction (93%), suggesting a shift in the antioxidant strategy toward non-enzymatic mechanisms, such as increased total phenol content. Regarding the volatilomic profile, ZnONPs induced specific metabolic alterations in the green leaf volatile (GLV) pathway, characterized by hexanal accumulation and reduced levels of hexanol and hexyl acetate. Additionally, ZnONPs were associated with lower methyl salicylate (MeSA) emissions, whereas the Bulk treatment increased its relative abundance to 41.7%. Finally, metagenomic analysis revealed that zinc treatments modulated the phyllosphere microbiota, favoring the proliferation of Actinobacteria while decreasing the abundance of sensitive taxa, such as Spirochaetes. Taken together, these findings suggest that ZnONPs act as a distinct metabolic modulator, altering internal physiology and chemical signaling. Full article

Faced with the challenge of reducing food waste, transforming discarded fruit into functional ingredients useful for the food industry is a valuable solution. Ingredients from fruit such as persimmons, which are rich in indigestible carbohydrates and bioactive compounds with antiradical capacity, could positively impact on the health of certain population groups due to their potential prebiotic effect. This study aimed to select the most suitable drying conditions and milling intensity for obtaining powdered persimmon ingredients with a prebiotic-like effects observed in vitro for postmenopausal women, and to evaluate this effect by considering the stimulation of health-promoting bacterial growth and short-chain fatty acids (SCFAs) production. First, the effect of the drying method (hot air drying at 60 and 70 °C, and freeze-drying) and grinding intensity on antiradical capacity, particle size, and the release of bioactive antiradical components into the intestinal lumen after an in vitro gastrointestinal digestion was determined. Next, the effect of these conditions on the microbiota composition of postmenopausal women was preliminary assessed in a batch colonic fermentation experiment for 24 h. The results showed that the ingredient dried with air at 70 °C had the highest phenol and flavonoid content, suffered the least degradation during in vitro gastrointestinal digestion and promoted the differential growth of fiber-degrader genera. Consequently, this was the ingredient selected as the most suitable. Lastly, the impact of this ingredient on the microbiota composition of 4 postmenopausal women has been evaluated in a long-term study using the Simulator of the Human Intestinal Microbial Ecosystem (SHIME^®) coupled to high throughput sequencing. The growth stimulation of health-associated bacteria, such as Akkermansia muciniphila, Faecalibacterium prausnitzii or Phascolarctobacterium faecium, and the promotion of beneficial metabolic pathways, such as the sugar uptake-specific phosphotransferase system, sugar metabolism and propionate and isobutyrate production, were detected along 14 days of persimmon powder supplementation. A holistic framework for promoting human health while advancing environmental sustainability is represented by the combination of sustainable by-product valorization and microbiota-targeted functional food development. Full article

Choledochal cyst (CC), a congenital biliary anomaly, is associated with recurrent infections, chronic inflammation, and an increased risk of malignancy. Although emerging evidence implicates the biliary microbiome in disease pathophysiology, its developmental dynamics in pediatric CC remain unclear. Using deep metagenomic sequencing and comprehensive functional annotation, this study characterized age-dependent changes in the biliary microbiome of 201 pediatric CC patients stratified into infancy (<1 year), early childhood (1–5 years), and later childhood (5–12 years). We found that while the taxonomic composition and alpha diversity of the microbiota remained conserved across age groups, profound functional remodeling occurred with host development. A core set of microbial species(Bacteroidota, Actinomycetota, Bacillota, and Pseudomonadota) and functional pathways was shared across all ages; however, early childhood (1–5 years) exhibited the greatest number of unique functional genes, metabolic pathways, and carbohydrate-active enzymes, identifying this period as a critical window for microbial metabolic adaptation. Age-specific patterns were also evident in clinically relevant traits: infants (<1 year) harbored the most unique antibiotic resistance and virulence factor genes, whereas the resistome and virulome became more streamlined in older children. These findings establish a paradigm of “taxonomic conservation coupled with functional remodeling” in the CC microbiome and highlight age as a key determinant of microbial community function. This study offers novel insights into the microbial dynamics underlying CC progression and suggests potential age-specific targets for future therapeutic strategies. Full article

While Escherichia coli can be found in the bladders of females without lower urinary tract symptoms, its presence is often associated with urinary tract infections (UTIs). The genomic plasticity of E. coli, including urogenital strains, is largely shaped by the integration of prophages. Although genomic and metagenomic analyses of urinary E. coli and the urinary microbiome suggest that prophages are abundant, many represent uncharacterized species. Sequence analysis suggests that these prophages represent temperate phages. This study aimed to fill this gap, isolating and characterizing temperate phages from urinary E. coli strains. We assessed phage host range across a panel of urinary isolates, providing a critical first step for future work investigating their putative role in shaping E. coli populations within the urinary community. In total, 20 temperate urinary phages were evaluated. Phage morphology and genic content of these phages were determined via transmission electron microscopy (TEM) and whole-genome sequencing, respectively. Together, these analyses provide insight into the diversity, infectivity, and genomic composition of temperate coliphages from the female urinary tract. Full article

In this study, a Nocardia niigatensis strain was isolated from boron-rich mining soils in the Bigadiç region of Türkiye and comprehensively characterized. The primary aim of this study was to isolate boron-tolerant Nocardia species and evaluate their physiological, enzymatic, and biochemical profiles. Selective isolation techniques were employed to obtain Nocardia isolates, and species-level identification was achieved using both 16S rRNA gene sequencing and MALDI-TOF MS analysis, which consistently confirmed the isolate as N. niigatensis. In addition to molecular identification, the morphological, physiological, and biochemical characteristics of the strain were extensively investigated. The strain demonstrated notable boron tolerance, exhibiting robust growth at concentrations up to 50 mM, highlighting its potential applicability in the bioremediation of boron-contaminated environments. Physiological assays further revealed moderate halotolerance and a mesophilic growth profile, with optimal growth observed at 27–37 °C. Enzymatic screening indicated positive L-glutaminase activity, an enzyme of considerable industrial relevance. Moreover, API ZYM profiling revealed a broad enzymatic spectrum, including esterases, arylamidases, phosphatases, and glucosidases, suggesting substantial metabolic versatility. Antibiotic susceptibility testing showed sensitivity to doxycycline, tobramycin, and erythromycin, whereas resistance was observed against imipenem and several β-lactam antibiotics. Metagenomic analysis of boron-rich soils from two distinct mining sites revealed marked differences in microbial community composition, with variations in Actinobacteria abundance associated with mineral type. Overall, these findings emphasize the adaptive capacity and biotechnological potential of environmental Nocardia strains inhabiting chemically stressful ecosystems, warranting further genomic and metabolomic investigations. Full article

The bacterial microbiome in aquaria plays an essential role in system stability by metabolizing toxic compounds like ammonia. This study monitored microbiome changes in seven zoo aquatic systems during their first year to assess responses to external influences. Over one year (October 2021–October 2022), water and swab samples were collected from one seawater tank and six filtration systems at regular intervals. Bacterial cultivation included total bacterial counts. Metagenomic analysis was performed on samples corresponding to environmental events using Oxford Nanopore sequencing. Taxonomical analysis at the phylum and genus levels used EPI2ME software. Diversity analyses and statistical tests were performed using R. Total bacterial counts increased steadily after inoculation and stabilized by the end of the collection period. Diversity analysis revealed significant differences within and between freshwater and saltwater tanks. Each aquarium exhibited a distinct bacterial community with frequent compositional changes. Despite environmental conditions and maintenance interventions and resulting disturbances that affected the microbiome, the overall nitrifying capacity remained unaffected. Nitrifying taxa emerged as potential indicators for environmental effects. Combined with investigations of ecological function, next-generation sequencing could facilitate the development of aquarium management protocols, ultimately improving fish welfare. Full article

Seals are keystone animals in the Arctic and a valuable resource for Indigenous communities, but their virome is poorly understood. Through a preliminary investigation of the virome of seven North Atlantic bearded seals (Erignathus barbatus) from northwest Newfoundland, Canada, we discovered a new member of the Paramyxoviridae, a family including important animal pathogens. The complete coding genome sequence (15,898 nt) of the novel paramyxovirus, which we named bearded seal-associated paramyxovirus 1 (BSAPV-1), encoded five core paramyxoviral proteins—nucleoprotein, matrix, fusion, hemagglutinin-neuraminidase, and polymerase—and three proteins with no identifiable homologues that may represent the phosphoprotein, a small hydrophobic protein, and a transmembrane protein. Phylogenetic analysis, including BSAPV-1 and all 153 currently known paramyxoviral species, positioned the novel virus in a long-branched clade with Wenzhou Pacific spadenose shark paramyxovirus (Skoliovirinae, Scoliodonvirus scoliodontis), its closest relative (pairwise identity of the L protein: 30.1%). According to ICTV criteria, BSAPV-1 is likely the first member of a novel paramyxoviral subfamily. As the virus was found in combined tracheal/fecal swabs of a single animal, we could not conclude whether this is a seal virus or a virus associated with seal food. This study expands our knowledge about marine paramyxoviruses, and future studies should investigate BSAPV-1 ecology, spread, and host spectrum. Full article

Tuberculosis (TB) remains one of the leading causes of death from a single infectious agent worldwide, a burden further exacerbated by HIV co-infection and the increasing prevalence of drug-resistant strains. Although a wide range of laboratory diagnostic methods are currently available, their applicability, implementation, and clinical impact vary substantially across healthcare settings with different levels of complexity and resources. This review provides a comprehensive overview of the main laboratory diagnostic methods for active and latent TB, emphasizing their clinical applicability, implementation challenges, and role within integrated diagnostic strategies. Conventional approaches, such as smear microscopy and culture, are discussed alongside modern diagnostic technologies, including automated nucleic acid amplification tests (NAATs), loop-mediated isothermal amplification (LAMP), line probe assays (LPAs), next-generation sequencing (NGS), and lateral flow assays, highlighting their strengths and limitations in distinct epidemiological and operational contexts. Unlike existing WHO guidelines and prior reviews that predominantly focus on test performance and recommendation status, this review adopts an implementation-oriented perspective, critically examining diagnostic methods in light of real-world constraints, regional disparities, and evidence gaps. Particular attention is given to limitations related to laboratory infrastructure, biosafety, workforce capacity, and sustainability, as well as to under-addressed areas such as latent TB, metagenomic approaches, and the investigation of co-pathogens. By integrating WHO guidance with contextual and operational considerations, this review aims to support rational test selection and the development of flexible, integrated diagnostic workflows tailored to local health system capacity, patient populations, and clinical scenarios, thereby strengthening the effectiveness and equity of TB diagnostic strategies. Full article

Background: The rapid advancement in artificial intelligence (AI) has fundamentally reshaped gut microbiome research by enabling high-resolution analysis of complex, high-dimensional microbial communities and their functional interactions with the human host. Objective: This narrative review aims to synthesize recent methodological advances in AI-driven gut microbiome research and to evaluate their translational relevance for therapeutic optimization, personalized nutrition, and precision medicine. Methods: A narrative literature review was conducted using PubMed, Google Scholar, Web of Science, and IEEE Xplore, focusing on peer-reviewed studies published between approximately 2015 and early 2025. Representative articles were selected based on relevance to AI methodologies applied to gut microbiome analysis, including machine learning, deep learning, transformer-based models, graph neural networks, generative AI, and multi-omics integration frameworks. Additional seminal studies were identified through manual screening of reference lists. Results: The reviewed literature demonstrates that AI enables robust identification of diagnostic microbial signatures, prediction of individual responses to microbiome-targeted therapies, and design of personalized nutritional and pharmacological interventions using in silico simulations and digital twin models. AI-driven multi-omics integration—encompassing metagenomics, metatranscriptomics, metabolomics, proteomics, and clinical data—has improved functional interpretation of host–microbiome interactions and enhanced predictive performance across diverse disease contexts. For example, AI-guided personalized nutrition models have achieved AUC exceeding 0.8 for predicting postprandial glycemic responses, while community-scale metabolic modeling frameworks have accurately forecast individualized short-chain fatty acid production. Conclusions: Despite substantial progress, key challenges remain, including data heterogeneity, limited model interpretability, population bias, and barriers to clinical deployment. Future research should prioritize standardized data pipelines, explainable and privacy-preserving AI frameworks, and broader population representation. Collectively, these advances position AI as a cornerstone technology for translating gut microbiome data into actionable insights for diagnostics, therapeutics, and precision nutrition. Full article

Salmonella Typhimurium is a major zoonotic pathogen, with pigs and chickens serving as key reservoirs for human infection, yet the genomic determinants of its host adaptation remain incompletely understood. This study integrated comparative genomics, genome-wide association studies (GWASs), and interpretable machine learning on 1654 high-quality genomes of swine- and chicken-origin S. Typhimurium isolates to identify host-associated genetic features. Phylogenetic analysis revealed host-preferred lineages and significantly lower genetic diversity within chicken-adapted subpopulations. Meta-analysis identified distinct host-associated profiles of antimicrobial resistance genes (e.g., higher prevalence of floR and bla_TEM-1 in swine) and virulence factors (e.g., enrichment of allB and the yersiniabactin system in chickens). GWASs pinpointed 1878 host-associated genes and multiple SNPs/indels, functionally enriched in metabolism, regulation, and cell processes. A two-stage Random Forest model, built using the most contributory features, accurately discriminated between swine and chicken origins (AUC = 0.974). These findings systematically revealed the genomic signatures of host adaptation in S. Typhimurium, providing a prioritized set of candidate markers for experimental validation. Full article

Background/Objectives: This study aimed to explore the association between maternal gut microbiota and metabolic profiles in the first trimester and the subsequent risk of gestational diabetes mellitus (GDM), as well as to characterize association patterns linking gut microbiota, serum metabolites, and metabolic traits. Methods: A nested case–control study was conducted among women with GDM (n = 47) and those without GDM (n = 94). Metagenomic sequencing was applied to analyze fecal microbiota, and liquid chromatography–mass spectrometry (LC–MS) was used for non-targeted plasma metabolomics. Differential microbiota and metabolites between groups were identified, and correlation analyses were conducted to assess their associations with clinical indicators. Results: Women who later developed GDM showed lower alpha diversity and higher beta diversity. Eleven differential species were identified, with Collinsella aerofaciens and Clostridium bartlettii enriched in GDM, while nine species such as Alistipes putredinis and Bacteroidales bacterium ph8 were enriched in controls. Sixty-four plasma metabolites differed between groups, including increased glycerol-3-phosphate, aromatic amino acids, and glycerophosphocholine, and decreased cysteine, tryptophan, niacinamide, and stearic acid. Correlation analyses revealed significant relationships between Alistipes putredinis, Eubacterium eligens, and Bacteroidales bacterium ph8 with metabolic and clinical indicators (e.g., TG, TC, LDL). Conclusions: In this nested case–control study, women who later developed GDM exhibited reduced gut microbial diversity and altered metabolic profiles during the first trimester of pregnancy. Several microbial taxa and microbiota–metabolite associations were observed in relation to subsequent GDM status, highlighting early-pregnancy microbial and metabolic features that may be relevant to GDM-related metabolic changes. Full article

Background: Type 2 diabetes mellitus (T2DM) and periodontitis are highly prevalent immune-inflammatory diseases that interact bidirectionally. However, how early-onset T2DM, periodontitis, and adverse lifestyle behaviors collectively remodel the gingival plaque microbiome at the ecological network level remains poorly understood in Indian populations. Methods: A cross-sectional 16S rRNA gene (V3–V4) sequencing study was conducted on supragingival and subgingival plaque from 60 adults (30–40 years) recruited in Mumbai. Participants were categorized as healthy (H, n = 10), periodontitis (P, n = 10), T2DM (n = 20), and T2DM with periodontitis (T2DM_P, n = 20). Comprehensive demographic, anthropometric, metabolic, periodontal, dietary, lifestyle, and oral hygiene data were collected. Sequence data were processed using QIIME2–DADA2, followed by diversity, differential abundance, and genus-level co-occurrence network analyses (Spearman |r| ≥ 0.6, FDR < 0.05; core prevalence ≥ 70%). Results: α-diversity showed no marked depletion across groups, whereas Bray–Curtis β-diversity revealed significant global separation, with maximal dissimilarity between H and T2DM_P. Healthy individuals with favorable lifestyle behaviors harbored scaffold-forming taxa such as Corynebacterium matruchotii, Lautropia mirabilis, and Capnocytophaga spp. In contrast, P and T2DM_P groups showed enrichment of proteolytic, inflammation-adapted genera including Porphyromonas, Tannerella, Treponema, Fretibacterium, Peptostreptococcus, and Selenomonas. Network analysis revealed a shift from commensal-rich modular networks to densely connected, keystone-centered disease modules. Conclusion: Early-onset T2DM and periodontitis, particularly under adverse lifestyle behaviors, reorganize plaque microbial composition and interaction architecture rather than depleting diversity, highlighting plaque-based keystone taxa and networks as targets for microbiome-informed risk stratification and integrated medical–dental–lifestyle interventions. Full article

The effect of afforestation in infertile mountainous areas is closely related to the soil ecological environment. Soil enzyme activities and the structure and functions of microbial communities are core indicators reflecting soil quality. Clarifying the response patterns of the two to Cyclobalanopsis gilva afforestation in infertile mountainous areas can provide a key scientific basis for targeted improvement of the cultivation efficiency of C. gilva plantations under different site conditions in the eastern subtropical region of China. In this study, 7-year-old C. gilva young forests in infertile mountainous areas and control woodland areas were selected in Shouchang Forest Farm, Jiande, Zhejiang Province, located in the subtropical region of China. Soil enzyme activities and microbial biomass in different soil layers, as well as metagenomes of rhizosphere and bulk soils, were determined to explore the effects and internal correlations of site conditions on soil enzyme activities and microbial community characteristics of C. gilva forests. The results showed that the activities of urease and catalase, as well as the content of microbial biomass nitrogen in the surface soil of infertile mountainous areas, were significantly lower than those in control woodland areas. The shared dominant phyla in the two types of sites included Proteobacteria and Acidobacteria, and the shared dominant genera included Bradyrhizobium. In addition, the relative abundances of three unclassified populations of Proteobacteria and functional genes related to cofactor and vitamin metabolism in the rhizosphere soil of infertile mountainous areas were significantly higher than those in control woodland areas. Meanwhile, the dominant microbial phyla in the rhizosphere soil of infertile mountainous areas had a closer correlation with soil enzyme activities and microbial biomass. This study clarified the ecological strategy of C. gilva young forests adapting to infertile mountainous areas: by increasing the relative abundances of functional genes related to cofactor and vitamin metabolism in rhizosphere microorganisms, promoting the enrichment of microorganisms associated with soil nitrogen cycling, and enhancing the correlations between dominant microbial phyla and soil enzyme activities and microbial biomass, the nitrogen resource limitation on soil microbial activity in infertile mountainous areas is balanced. This finding provides direct guidance for optimizing the afforestation and management techniques of C. gilva in infertile mountainous areas and has important practical value for promoting forest ecological restoration. Full article

Rice blast, caused by the fungal pathogen Pyricularia oryzae, remains one of the most destructive diseases threatening global rice production. Although the deployment of resistant cultivars is widely regarded as the most effective and sustainable control strategy, resistance based solely on host genetics often has limited durability due to the rapid adaptation of the pathogen. Increasing evidence suggests that plant-associated microbial communities contribute to host health and disease resistance, yet the role of seed-associated microbiota in shaping rice blast resistance remains insufficiently understood. In this study, we investigated seed endophytic bacterial communities across multiple indica–japonica hybrid rice varieties from the Yongyou series that exhibit contrasting levels of resistance to rice blast. By integrating amplicon sequencing, we identified distinct seed bacterial assemblages associated with blast-resistant and blast-susceptible varieties were identified. Notably, the microbial communities in blast-resistant varieties exhibited significantly higher Shannon index, with a median value of 3.478 compared to 2.654 in susceptible varieties (p < 0.001), indicating a greater diversity and more balanced community structure compared to those in susceptible varieties. Several bacterial taxa consistently enriched in resistant varieties showed negative ecological associations with P. oryzae, both at the local scale and across publicly available global metagenomic datasets. These findings indicate that seed endophytic bacterial communities are non-randomly structured in relation to host resistance phenotypes and may contribute to rice blast resistance through persistent ecological interactions with the pathogen. This work highlights the potential importance of seed-associated microbiota as intrinsic components of varietal resistance and provides a microbial perspective for improving durable disease resistance in rice breeding programs. Full article

Lignin is a complex aromatic polymer that constitutes a major fraction of plant biomass and represents a valuable renewable carbon resource. Naturally decaying wood serves as an environmental reservoir of microorganisms capable of degrading lignin. In this study, we isolated and characterized sixteen bacterial strains from decaying Tilia cordata wood using an enrichment culture technique with lignin as the sole carbon source. Taxonomic identification via 16S rRNA gene sequencing revealed microbial diversity spanning the genera Bacillus, Pseudomonas, Stenotrophomonas, and several members of the Enterobacteriaceae family, including Raoultella terrigena isolates. Metagenomic sequencing of the wood substrate revealed an exceptionally rich and balanced bacterial community (Shannon index H′ = 5.07), dominated by Streptomyces, Bradyrhizobium, Bacillus, and Pseudomonas, likely reflecting a specialized consortium adapted to lignin rich late-stage decay. Functional phenotyping demonstrated that all isolates possess ligninolytic potential, evidenced by peroxidase/laccase-type activity through methylene blue decolorization. Dynamic Light Scattering (DLS) and HPLC analyses showed that some isolates, such as Raoultella terrigena MGMM806, effectively depolymerized lignosulfonate into low molecular weight fragments (1.23 nm), while others accumulated intermediate metabolites or completely mineralized the substrate. Growth profiling on monolignol substrates revealed a broad spectrum of catabolic specialization in lignin monomer degradation. The results demonstrate a complex system of metabolic partitioning within a natural bacterial consortium. This collection represents a foundational genetic resource for developing engineered biocatalysts and synthetic microbial communities aimed at the efficient conversion of lignin into valuable aromatic compounds. Full article