Search Results (1,620)

Pollutants often exist in tailings and surrounding areas as complex mixtures, and the resulting combined effects make it difficult to identify the primary target pollutants, particularly common inorganic anions. To address this, high-throughput 16S rRNA gene sequencing was used to characterize the microbial community structure in groundwater around rare earth tailing ponds, and multivariate statistical analyses were applied to link community patterns to specific environmental variables. A total of 14 groundwater samples were collected from seven sites (two spatial replicates per site) along a contamination gradient. The results showed distinct differences in microbial community composition between the control site and the tailing-pond-impacted sites. Nitrosomonas was the dominant genus at highly contaminated sites, while halotolerant genera such as Seohaeicola, Pusillimonas, and Oceanibaculum also showed elevated relative abundances. Redundancy analysis (RDA) with forward selection identified the co-occurring elevated concentrations of NH₄⁺ and SO₄²⁻ (originating from tailing pond leachate) as the environmental variables most strongly associated with microbial community structure (p < 0.05). In contrast, the microbial community at the control site WLJ-5, located farthest from the tailing pond, was markedly different. These findings suggest that shifts in microbial community composition and the prevalence of specific microorganisms may serve as potential bioindicators to assist in identifying the dominant contaminant types in groundwater around rare earth tailing ponds. Full article

Thermophilic microbial inoculant (CI) has been demonstrated to optimize the green waste composting (GWC) process. The pathways through which it enhances lignocellulose degradation remain unclear. This study evaluated composting performance under four treatments: CI, effective microorganisms (EM), Phanerochaete chrysosporium (WF), and natural composting (CK). To elucidate the biological differences between efficient lignocellulose-degrading systems and CK, metagenomic analyses were conducted on CI and CK based on lignocellulose degradation rates. The results indicated that CI inoculation did not negatively affect the compost heating process and produced a nitrogen-rich, safe, and mature compost product. Compared to other treatments, CI increased the lignocellulose degradation rate by 3.66% to 31.8%. Metagenomic analysis revealed that CI inoculation enriched genes encoding glycoside hydrolases (GHs), glycosyl transferases (GTs), carbohydrate esterases (CEs), and carbohydrate-binding modules (CBMs) across multiple composting phases, positively impacting dominant carbohydrate-active enzyme (CAZyme) families including AA3, CE1, and CE7. CI inoculation also elevated the relative abundance of lignocellulose-degrading microorganisms (0.70~2.73%), simplified microbial network structure, and strengthened microbial cooperation. Within the microbial network, Chryseolinea, Protaetiibacter, and unclassified_f__Burkholderiaceae were identified as core taxa involved in lignocellulose degradation. Redundancy analysis (RDA) identified temperature as the primary factor influencing biological factors, with CI improving composting efficiency by optimizing the microenvironment. Collectively, this work provides a novel strategy for microbial inoculant application in composting and offers new perspectives for identifying core taxa, contributing to advancing composting efficiency. Full article

With colorectal cancer (CRC) accounting for over 1.9 million new cases and 930,000 deaths globally in 2020, there is a critical need for innovative indicators to forecast disease advancement and therapeutic outcomes. The gut microbiome has emerged as a fertile area for discovering such diagnostic and prognostic signals. This narrative review collected current evidence on intestinal microorganisms and their metabolic products as candidate markers for CRC control. Intestinal communities influence malignancy through diverse mechanisms, including metabolic shifts, immune modulation, inflammation, proliferation/apoptosis regulation, genotoxicity, and mucosal barrier disruption. Pathogenic species, such as Fusobacterium nucleatum and enterotoxigenic Bacteroides fragilis, facilitate tumorigenesis via FadA-mediated signaling and Th17/IL-17 responses. In contrast, beneficial taxa like Faecalibacterium prausnitzii and Akkermansia muciniphila provide protective effects through short chain fatty acid production. Macrophage phenotype physiological equilibrium is altered and inflammatory status fluctuates under the former. Metabolically, hydrogen sulfide damages mitochondrial DNA and secondary bile acids stimulate cellular proliferation. While 16S rRNA sequencing and shotgun metagenomics are established detection strategies, innovative platforms like organoids and gene arrays remain in the exploratory stage. Clinical data indicates that F. nucleatum aligns with advanced tumor stage, and its combined detection with colibactin-producing E. coli achieves high sensitivity for early-stage screening. Additionally, A. muciniphila levels can anticipate the efficacy of PD-1 blockade immunotherapy. Microbiota-derived tools represent a transformative direction in oncology. Future research must focus on standardizing protocols and validating multi-marker panels to enhance clinical translation. Full article

Rodents and shrews are important reservoir hosts due to their close association with human activities and their role in carrying various zoonotic pathogens. Recently, meta-transcriptomic sequencing has become a powerful tool for surveilling and screening novel pathogens from wild animals. However, many of these studies focused only on the diversity and genetic evolution of viruses from wildlife, while ignoring non-viral pathogens such as bacterial and eukaryotic microorganisms. Here, we performed a comprehensive infectome analysis of 227 tissue samples collected from 42 rodents and 16 shrews across six cities of Guangdong Province, China. We identified 34 viral families, including 23 mammalian viruses. Phylogenetic analysis revealed a henipavirus from the kidneys of shrews closely related to the Langya virus with potential infection risks to humans. Additionally, two potential pathogenic bacteria and 12 eukaryotic pathogens from six genera were found, showing clearer organ tropism than viruses. Interestingly, a moderate positive abundance correlation between Usmuvirus newyorkense and Trichinella suggested a potential virus–parasite association. We used machine learning models to evaluate the zoonotic potential of the obtained viruses, which indicated that 15 of 23 viral species were high risk for human infection. These findings provide important insight into the substantial zoonotic threat posed by pathogens circulating in wild small mammals in southern China and highlight the necessity for persistent wildlife pathogen surveillance. Full article

Antibiotic resistance remains a major public health concern, particularly in regions with high rates of hospital- and community-acquired infections. This study aimed to quantify multidrug-resistant (MDR) bacterial strains in northern Mexico and to identify the most prevalent resistance phenotypes, the antibiotic classes with the highest resistance and susceptibility rates, the predominant MDR species, and the specimen types yielding the greatest number of isolates. Clinically relevant strains were collected from patients with confirmed infections. Microorganism identification and antimicrobial susceptibility test-ing were performed using the Vitek 2 Compact system (bioMérieux), and the results were analyzed descriptively. Of the 1544 strains analyzed, 761 (49.29%) exhibited multidrug resistance. Escherichia coli was the most frequently isolated MDR species, followed by Pseudomonas aeruginosa. Acinetobacter baumannii showed the highest resistance rate, with 95.55% of its strains classified as MDR, whereas P. aeruginosa had the lowest MDR proportion at 30.73%. These findings underscore the urgent need for rational antibiotic use and the development of new therapeutic agents, particularly those targeting Gram-negative bacilli, to mitigate the growing threat of antimicrobial resistance in this region. Full article

Silver nanoparticles (AgNPs) have attracted substantial scientific interest in biomedical research owing to their unique physicochemical characteristics, broad-spectrum antimicrobial activity, plasmonic properties, and therapeutic versatility. Although conventional physicochemical synthesis methods enable controlled NPs fabrication, their dependence on hazardous reagents, elevated energy input, and environmentally detrimental processing conditions has stimulated the development of sustainable biogenic alternatives. Biological synthesis utilizing plants, microorganisms, fungi, algae, and purified biomolecules has emerged as an eco-friendly and bio-compatible strategy for AgNP fabrication, enabling simultaneous reduction, stabilization, and intrinsic biofunctionalization of NPs. However, traditional biogenic synthesis remains constrained by limited mechanistic understanding, poor batch reproducibility, inadequate control over physicochemical properties, and challenges in large-scale manufacturing. Recent advances in bioengineering have transformed this field through the integration of metabolic engineering, synthetic biology, microfluidic-assisted synthesis, artificial intelligence-guided process optimization, and continuous-flow biomanufacturing, collectively enabling precision fabrication of biogenic AgNPs with enhanced uniformity, scalability, and functional tunability. Furthermore, strategic surface engineering and functionalization have expanded the applicability of biogenic AgNPs across targeted anticancer therapy, antimicrobial intervention, wound healing, regenerative medicine, drug delivery, and theranostic imaging. Despite these advancements, critical challenges remain regarding nano–bio interactions, toxicological safety, regulatory compliance, and translational scalability. Unlike conventional reviews focused primarily on green synthesis approaches, this review critically highlights emerging bioengineering paradigms that enable programmable, scalable, and precision-controlled biogenic AgNP fabrication. This review comprehensively examines next-generation paradigms and strategies for AgNPs biosynthesis, elucidates the molecular mechanisms governing their formation, highlights emerging functionalization and biomedical application paradigms, and discusses current translational barriers. Forming biogenic composites of AgNPs and heteroatom doped carbon nanodots needs intense research in near future. Full article

This study aimed to develop antibacterial polyphenol–chitosan hydrogel dressings and, more importantly, to compare how three structurally distinct low-cost natural polyphenols—protocatechuic acid (PCA), gallic acid (GA), and tannic acid (TA)—regulate hydrogel performance within the same chitosan platform. PCA, GA, and TA were incorporated into chitosan to obtain the corresponding hydrogels, denoted CS-PCA, CS-GA, and CS-TA. Scanning electron microscopy confirmed that all formulations possessed a three-dimensional porous network. Rheological characterization revealed favorable viscoelastic behavior for all polyphenol-containing hydrogels, with CS-TA showing the highest mechanical strength in the present system. The hydrogels also exhibited pH-responsive swelling, good tissue adhesion, self-healing ability, and injectability. In vitro antibacterial assays demonstrated activity against both Gram-positive and Gram-negative microorganisms, with CS-TA showing the most favorable overall antibacterial performance under the tested conditions. In a rat full-thickness wound model, hydrogel treatment accelerated wound closure, while H&E staining indicated enhanced granulation tissue formation, collagen deposition, and reduced inflammatory cell infiltration. Collectively, these findings support the use of polyphenol–chitosan composite hydrogels as promising wound-dressing candidates and highlight the value of a side-by-side comparison of PCA, GA, and TA for understanding structure–property–function relationships in this class of materials. Full article

Lignocellulose is degraded in the rumen by diverse microorganisms. This study aimed to select the top ruminal microbes associated with an anaerobic fungus (AF) capable of forming consortia that facilitate biogas production from wheat straw. The workflow included the following steps: (1) batch reactors, divided into three compartments with porous membrane bags containing wheat straw, were assembled. The outermost compartment was inoculated with freshly collected rumen content. The first microbes colonizing the wheat straw in the innermost compartment within 72 h were identified. (2) Synthetic consortia were assembled comprising the following identified microbes: an anaerobic fungus (AF) (Neocallimastix lanati); methanogenic archaea (M) (Methanobrevibacter ruminantium or Methanobrevibacter gottschalkii); bacteria (B) (Butyrivibrio hungatei or Succinoclasticum ruminis). (3) Wheat straw was subjected to 7-day pretreatments with these synthetic consortia. (4) The pretreated straw served as substrate in biochemical methane potential (BMP) tests that used a biogas reactor digestate as the inoculum. The pretreated straw produced elevated biomethane yields; nonetheless, this process needs further optimization. The cross-kingdom AF + M + B consortia increased methane production by 35–70%, and superior volatile fatty acid production was confirmed via HPLC. The results suggest novel strategies for advanced practical biogas/biomethane technologies. Full article

Understanding the interaction between plants and rhizosphere microorganisms is critical for the development of biofertilizers. Fluorescent labeling of rhizosphere microorganisms serves as a key strategy to track their behavior during plant–microbe coculture. However, most newly isolated strains are novel and lack available molecular tools for such studies. In this research, Planococcus dechangensis NEAU-ST10-9^T (P. dechangensis NEAU-ST10-9^T), a salt-tolerant strain, was obtained from the China General Microbiological Culture Collection Center (CGMCC). It significantly increased maize root length by approximately 1.56-fold. To investigate the underlying mechanism, a donor strain (Ec102) and a shuttle plasmid (pAS104) were engineered to mediate conjugation with P. dechangensis NEAU-ST10-9^T and drive GFP overexpression in the bacterium, generating the genetically labeled strain Pd103. The fluorescence intensity (expressed as GFP/OD₆₀₀, arbitrary units) of Pd103 increased with bacterial growth and was approximately tenfold higher than that of the wild-type strain after 16 h of culture. Following inoculation onto maize seeds, confocal microscopy analysis revealed that Pd103 colonized the epidermis and endodermis of maize roots. These results indicated that P. dechangensis NEAU-ST10-9^T could invade maize roots and promote maize seedling growth. In summary, we have successfully established a robust fluorescence labeling and tracking system tailored for P. dechangensis NEAU-ST10-9^T, which constitutes a valuable tool for elucidating the cellular and molecular mechanisms governing its plant–microbe interaction. Full article

Antimicrobial resistance genes threaten the effective treatment of infectious diseases, underscoring the importance of their control in line with the EU One Health policy. Wastewater treatment plants are recognized hotspots for antimicrobial resistance. We assessed whether multi-channel mixed-matrix membranes (MCMMMs)—polyethersulfone (PES)/polyvinylpyrrolidone (PVP) ultrafiltration membranes with embedded activated carbon—can concurrently reduce microorganisms and extracellular DNA in wastewater effluent, building on prior reports of micropollutant removal. We evaluated the performance of MCMMMs in removing Escherichia coli and Saccharomyces cerevisiae as model organisms, as well as colony-forming units (CFUs) from wastewater effluent at a transmembrane pressure of 1 bar with a filtration area of 66 cm² over 1 h. DNA was extracted from wastewater effluent following filtration and analyzed to assess changes in microbial community composition. MCMMMs achieved log₁₀ reductions of 5.47 ± 0.42 (Escherichia coli), 5.99 ± 0.46 (Saccharomyces cerevisiae), and 2.79 ± 0.31 (wastewater CFU); reductions by pure PES/PVP membranes were comparable: higher for Escherichia coli and wastewater CFUs, lower for Saccharomyces cerevisiae. Amplicon sequencing showed altered relative abundances in wastewater effluent. Collectively, these findings demonstrate the potential of MCMMMs to simultaneously remove microorganisms, extracellular DNA, and micropollutants, highlighting their suitability for water treatment applications within the One Health framework. Full article

Microorganisms construct complex social communities through the exchange and interaction of chemical substances. Traditional research has typically drawn a strict distinction between quorum-sensing (QS) signaling molecules and cytotoxic secondary metabolites; however, this simplistic classification limits our in-depth understanding of microbial chemical ecology and complex collective behavior. Recent studies have shown that many secondary metabolites exhibit dual functions, acting as signaling molecules that facilitate information exchange at low concentrations. This paper proposes an integrated signaling network framework that views secondary metabolites as key nodes linking microbial collective behavior and environmental adaptation. We explore how this network mechanism overcomes the limitations of linear signaling models, thereby elucidating how microorganisms balance cell growth and metabolite synthesis in dynamic environments. We also introduce emerging spatial omics and synthetic biology tools, which hold great potential for precisely deciphering complex chemical signaling networks at the microscopic scale. Translating these mechanisms into technological applications could enable dynamic, autonomous control of bacterial metabolism in industrial biotechnology, significantly enhancing the yield of target products. Finally, we emphasize the critical importance of reframing chemical ecology as a dynamic signaling network. This shift in ecological and evolutionary perspective not only provides novel intervention pathways based on network decoupling to address the increasingly severe crisis of antibiotic resistance (AMR) but also establishes a theoretical foundation for host microbiome regulation, environmental bioremediation, and industrial multi-strain collaborative engineering. Full article

Recent studies have reported skin microbiome dysbiosis in patients with photodermatoses, featuring enriched Staphylococcus aureus colonization and decreased microbiome diversity. We propose that ultraviolet radiation (UVR), along with atypical antimicrobial peptides, may exert selective pressure on the skin microbiome, while cytokine dysregulation and a reduction in commensal bacteria amplify microbial dysbiosis. Dysbiotic microorganisms further release pathogen-associated patterns and virulence factors, and activate tissue-resident memory T cells, which collectively contribute to local inflammation. These mechanisms establish the skin microbiome as a potential target for early intervention. Potential therapeutic strategies may include antibiotics, phototherapy, bleach baths, phage therapy, and microbiota-based therapies. This review integrates current findings from microbial ecology, molecular biology, and host immunology to outline a conceptual framework linking UVR exposure, microbiome alterations, and cutaneous immune responses, while emphasizing the current limitations and evidence gaps in this field. Full article

In Chiapas, Mexico, traditional fermented beverages represent an important cultural resource and serve as reservoirs of native microorganisms, particularly Saccharomyces cerevisiae. In Taberna, a beverage produced from the sap of Acrocomia aculeata, morphological variation among S. cerevisiae colonies has been reported across different fermentation stages. This study aimed to determine whether colony morphological traits are related to intraspecific variability among isolates and to assess whether this variability is associated with the locality of origin and fermentation stage. Twenty Saccharomyces cerevisiae isolates collected from three fermentation stages (initial, intermediate, and final) in two localities (Benito Juárez and Tierra y Libertad) were characterized. Macromorphological and physiological traits—including thermotolerance, osmotolerance, cycloheximide tolerance, ethanol resistance, and carbohydrate fermentation—were evaluated. Genetic variability was assessed by Arbitrarily Primed-Polimerase in Chain Reaction (AP-PCR)using the microsatellites (CAG)₅, (GAC)₅, and MR, and by Restriction Fragment Length Polymorphism (RFLP) of the ITS-5.8S and NTS regions; data were analyzed using Unweighted Pair Group Method with Arithmetic mean (UPGMA). The isolates exhibited high physiological and molecular heterogeneity, primarily associated with locality. Isolates C15, K8, and X5 grew at temperatures up to 45 °C, and isolated Ñ5 tolerated ethanol concentrations up to 15%. Genetic profiles showed intraspecific polymorphism and geographic differentiation. These findings highlight substantial physiological variation among isolates, suggesting potential relevance for future applications in traditional fermentation processes. Full article

Rice seedlings are typically grown in high-phosphorus nursery soils in practice, which reduces rice root growth and the plant’s ability to adapt to adverse conditions after transplantation to the paddy field. Thus, it is important to improve rice root development in high-phosphorus nursery soils. Rice root developments are closely connected with soil microorganisms. Arbuscular mycorrhizal fungi (AMF) can promote rice root growth and help improve rice performance in resisting adverse conditions. To illustrate the mechanisms of rice seedlings with AMF inoculation under suitable and high-phosphorus nursery soils in resisting adverse conditions, rice seedlings were cultivated in suitable and high-phosphorus nursery soils inoculated with AMF JD5 (Paraglomus sp.) and transplanted into soda saline–alkaline soils following successful AMF inoculation. Results showed that under high-phosphorus conditions, AMF JD5 inoculation significantly promoted plant height and root elongation, likely through increased total chlorophyll content. Concurrently, proline content was reduced, whereas soluble sugar and soluble protein contents were elevated, indicating alleviation of osmotic stress induced by saline–alkaline conditions. Moreover, AMF JD5-inoculated seedlings exhibited increased CAT activity, which efficiently scavenged reactive oxygen species (ROS) generated under salt–alkaline stress and reduced lipid peroxidation. However, thiobarbituric acid reactive substances (TBARS) content was significantly decreased with AMF inoculation in high-phosphorus conditions. Collectively, these findings suggest that AMF JD5 inoculation in high-phosphorus nursery soils establishes a physiological and biochemical foundation that maintains rice resilience against saline–alkaline stress throughout early growth. Full article