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[Effect of conditions of culturing Pseudomonas rathonis T on characteristics of a biosensor for determining anionic surface-active agents].

The dependence of the sensitivity of a microbial biosensor of anionic surfactants (AS) on the growth phase of Pseudomonas rathonis T, a strain capable of degrading surfactants, was studied. Correlations were found between the optimum values of temperature and pH of microbial growth, substrate utilization, and functional performance of the microbial biosensor. These results allow the process of AS detection to be optimized.

Anions↗

[Microbial settlement of paint- and building-materials in the sphere of drinking-water. 2. Information: experimental examination of bitumen paint under working conditions (author's transl)].

A bituminous coating material for drinking water reservoirs was applied on testing plates for a microbial examination. In function of the chlorine content of the water a microbial slime layer could be found on the testing plates. The amount of slime became less in course of the time or was not produced at all, when the plates were desiccated before the experiment for some months. A slime layer could never be observed on plates of asbestos cement and polyacryl as inert materials for comparison. Different microbial populations were observed.

Coal Tar↗

Decoding microbial metabolic complementarity from individual traits to community structuring.

A fundamental challenge in microbiome research lies in elucidating the functional capacity of microbial communities through community membership and genomic data. As community structuring and emergent functional traits are determined by bacterial community metabolic networks, it is important to gain insights into the principles that govern bacteria-bacteria interactions. Here, we applied an integrative framework linking individual strain-level traits to community structuring in a simplified synthetic bacterial community (SSC8) that promotes the growth of ungrafted watermelon. By combining mono- and coculture assays with genome-scale metabolic modeling and metabolomic profiling of spent media, we characterized directional interactions and resource dependencies among community members. Our findings show that positive interactions dominated the community network, accounting for 55% of all pairwise combinations, indicating a high prevalence of growth-promoting effects among strains. Genome-scale metabolic modeling showed that functional divergence among strains enhanced the potential for metabolic complementarity as phylogenetic distance increased. Integrating metabolic modeling with metabolomics further suggested that Pseudomonas azotifigens Q6 not only benefited from all other community members, but also exhibited mutualistic interactions with the other three strains, with metabolite exchange involving compounds such as L-lysine and L-cysteine. Pseudomonas azotifigens Q6 acted as an important driver of community composition by affecting the abundance of several other consortium members in vitro. These findings highlight the role of metabolic complementarity in driving community structuring by promoting selective persistence of specific strains. Our work provides mechanistic insights into microbial interaction networks in vitro and offers a conceptual foundation for the rational design of functionally robust and plant-beneficial microbiomes.

Bacteria↗

Evaluation of broiler litter with reference to the microbial composition as assessed by using 16S rRNA and functional gene markers.

Very little is known about the microbial composition of animal bedding wastes, including poultry litter, and what is known has been deduced from standard culture methods, by which some fastidious organisms that exist in the environment may not be detected. We evaluated the bacterial composition of poultry litter by using a combination of culture and molecular detection. Total aerobic bacteria in poultry litter were detected by culture at 10(9) CFU/g of material. Enteric bacteria such as Enterococcus spp. and coliforms composed 0.1 and 0.01%, respectively, of the total aerobic cultivatable bacteria in poultry litter; no Salmonella strains were detected by culture. In order to characterize the most abundant bacterial groups, we sequenced 16S ribosomal DNA (rDNA) genes amplified by PCR with microbial community DNA isolated from poultry litter as the template. From the 16S rDNA library, 31 genera were identified. Twelve families or groups were identified with lactobacilli and Salinococcus spp. forming the most abundant groups. In fact, 82% of the total sequences were identified as gram-positive bacteria with 62% of total belonging to low G+C gram-positive groups. In addition to detection of 16S rDNA sequences associated with the expected fecal bacteria present in manure, we detected many bacterial sequences for organisms, such as Globicatella sulfidofaciens, Corynebacterium ammoniagenes, Corynebacterium urealyticum, Clostridium aminovalericum, Arthrobacter sp., and Denitrobacter permanens, that may be involved in the degradation of wood and cycling of nitrogen and sulfur. Several sequences were identified in the library for bacteria associated with disease in humans and poultry such as clostridia, staphylococci, and Bordetella spp. However, specific PCR targeting other human and veterinary pathogens did not detect the presence of Salmonella, pathogenic Escherichia coli, Campylobacter spp., Yersinia spp., Listeria spp., or toxigenic staphylococci. PCR and DNA hybridization revealed the presence of class 1 integrons with gene cassettes that specify resistance to aminoglycosides and chloramphenicol. Only from understanding the microbial community of animal wastes such as poultry litter can we manage animal disease and limit the impact of animal waste on the environment and human and animal health.

Animals↗

Problems and potential for in situ treatment of environmental pollutants by engineered microorganisms.

Molecular microbial ecology could provide tools for studying the structure and function of biodegradative microbial communities useful for in situ removal of environmental pollutants. Detection and monitoring of released organisms in the environment is required and DNA:DNA colony hybridization seems to be one of the highly sensitive and accurate technologies available for achieving this goal. A realistic and pragmatic view is required for analysis of the risks of environmental release of genetically-modified or engineered organisms.

Bacteria↗

Immunophilins: structure-function relationship and possible role in microbial pathogenicity.

Immunophilins are housekeeping proteins present in a wide variety of organisms. Members of two protein superfamilies, cyclophilins (Cyps) and FK506-binding proteins (FKBPs) belong to this class of immunophilins. Despite the fact that the amino acid sequences of Cyp and FKBPs do not exhibit noticeable homology to each other, proteins of both classes are able to ligate immunosuppressive peptide derivatives. Cyps form complexes with the cyclic undercapeptide cyclosporin A and FKBPs are able to bind FK506 as well as rapamycin, both of which have a pipecolyl bond within their structure. In a ligand-bound form, immunophilins interfere with signal transduction in T cells. In addition, immunophilins have peptidyl prolyl cis-trans isomerase (PPlase) activity and are able to accelerate the rate of conformational events in proline-containing polypeptides. Microorganisms produce proteins that exhibit extensive sequence homologies to cyclophilins and FKBPs of higher organisms and which have considerable PPlase catalytic activity. While cyclophilins seem to be present in most if not all microbial species investigated, FKBPs are produced by yeasts as well as by a number of pathogenic bacteria, such as Legionella pneumophila, Chlamydia trachomatis and Neisseria meningitidis. The Mip protein of L. pneumophila is a virulence factor that plays an essential role in the ability of the bacteria to survive and multiply in phagocytic cells. Some results are summarized on the structure and putative functions of immunophilins and place special emphasis on the contribution of these polypeptides to the virulence of pathogenic microorganisms.

Amino Acid Isomerases↗

[Mechanism of Tianshu Capsules in treating migraine rats based on gut microbiota].

This study aims to investigate the therapeutic effect of Tianshu Capsules(TS) on migraine rat model and explore its potential mechanism of action from the perspectives of the structure of the gut microbiota and functional pathway regulation. A migraine rat model was established via subcutaneous injection of nitroglycerin. The Sprague-Dawley rats were randomly divided into a control group, a model group, a low-dose TS group, a medium-dose TS group, a high-dose TS group, and an ibuprofen group. The efficacy of TS in improving migraine was evaluated by general condition observation and measurement of the craniofacial pain threshold. The expression of the gene c-fos in the trigeminal ganglion was determined by quantitative real-time polymerase chain reaction(PCR). The contents of endothelin-1(ET-1), calcitonin gene-related peptide(CGRP), and 5-hydroxytryptamine(5-HT) in serum were measured by enzyme-linked immunosorbent assay(ELISA). Fecal samples were subjected to metagenomic sequencing for systematic analysis of gut microbial diversity, taxonomic composition difference, and functional pathway changes of Kyoto Encyclopedia of Genes and Genomes(KEGG), and their correlations with behavioral and biochemical indices were further evaluated. The results show that TS significantly improves the increased body temperature and decreased craniofacial pain threshold in migraine rats. It also markedly suppresses the elevated expression levels of the gene c-fos in the trigeminal ganglion and reduces the levels of ET-1, CGRP, and 5-HT in serum. Metagenomic beta diversity analysis and differential taxonomic abundance analysis reveal that the migraine model induces significant gut microbiota dysbiosis, characterized by enrichment of harmful genera, including Streptococcus and Enterococcus, as well as a decline in the abundance of beneficial bacteria such as Allobaculum, Eubacterium, and Muribaculum. Functional pathway analysis results of KEGG further reveal that the relative abundances of pathways associated with biosynthesis of phenylalanine, tyrosine, and tryptophan, bacterial secretion system, citrate cycle, and biosynthesis of secondary metabolites are significantly decreased in the model group. TS intervention increased the abundance of the genus, such as Parabacteroides, Eubacterium, Allobaculum, and Muribaculum, while decreasing levels of microbiota, including Staphylococcus. TS also significantly upregulated pathways associated with barrier function(tight junction), amino acid biosynthesis pathways, and biosynthesis pathways of neurotransmitter precursors such as cysteine and methionine metabolism. In addition, it downregulated inflammatory pathways(Toll and IMD signaling) and pathways related to Staphylococcus aureus infection, thereby restoring the structure and function of the microbiota to a state close to those of the normal group. Spearman correlation analysis reveals that partial gut microbiota are significantly associated with migraine-related behavioral and biochemical indices(c-fos, ET-1, CGRP, and 5-HT). In conclusion, TS can regulate the disrupted gut microbiota structure and microbial functions related to neurotransmitter metabolism, intestinal barrier function, and inflammatory regulation in migraine model rats, which may be one of the potential key ways through which TS exert its anti-migraine effect.

Animals↗

[Introduction and progress of molecular microbial ecology].

Molecular microbial ecology is an interdisciplinary field of molecular biological techniques and microbial ecology, which deals with microbial population, diversity, function, and relationships between microorganisms and biotic and abotic environments in microbial ecosystem. All the progress in molecular microbial ecology, especially in microbial diversity, phylogeny and communities of some microoganisms, indicate the renovation in traditional microbial ecology by the introduction of molecular techniques and strategies. This article reviewed the ideation, development, key domains, main methods and the future hot fields in molecular microbial ecology.

Ecology↗

Metagenomic insights into antibiotic resistance genes and virulence factors in sediments of river Yamuna.

Riverine sediments serve as critical reservoirs of microbial diversity and functional genes, reflecting both natural ecological processes and anthropogenic impacts. In the present study, we employed a shotgun metagenomic approach to investigate microbial community composition, antimicrobial resistance (AMR) genes, and virulence factors in sediments collected from three environmentally distinct locations of the Yamuna River near Agra, India, representing BSA, TGY, and YEA. The sediment DNA was subjected to high-throughput Illumina sequencing, followed by quality control, assembly, and open reading frame prediction. Taxonomic classification and diversity analyses were performed using MEGAN6 and R-based statistical tools, while AMR genes were identified from predicted metagenomic proteins using the Resistance Gene Identifier (RGI) against the CARD database, with high-confidence perfect and strict hits retained; ARGs were interpreted independently of species-level host assignment. Virulence factors were assessed through presence-absence profiling of functionally relevant gene categories. The results revealed pronounced spatial heterogeneity in microbial communities, with increasing taxonomic diversity, functional complexity, and evenness from BSA to TGY and YEA. TGY and YEA composite samples showed greater observed representation of high-confidence AMR gene predictions spanning multiple drug classes and resistance mechanisms, alongside a diverse repertoire of virulence-associated genes linked to motility, adhesion, and secretion systems. In contrast, the BSA site harbored a comparatively simpler resistome and virulome. Overall, this study highlights Yamuna River sediments as important reservoirs of resistance and virulence determinants and underscores the need for long-term genomic surveillance to inform risk assessment, pollution control, and sustainable river management strategies.

AMR↗

Ecological Filtering by Tuber Compartments Shapes Stable Core Microbiomes That Underpin Potato Plant Growth Across Environments.

Harnessing plant microbiomes for sustainable agriculture requires understanding not only whether they can boost crop performance, but also how ecological processes govern their assembly, stability, and functional contributions across environments. While we previously showed that seed tuber microbiomes can predict potato vigour using machine learning, it remained unclear how ecological processes shape tuber microbiome stability and functionality across host genotypes, tuber compartments, soil types, and years. Here, we analyzed the national-scale dataset of 240 field-collected potato seedlots, spanning six genotypes, two soil types, and two growing years, with a focus on the spatially distinct heel and eye compartments of the potato tuber. By profiling over 1200 bacterial and fungal communities and linking microbiome composition to plant performance, we show that plant genotype and tuber compartment are the strongest determinants of microbial diversity and composition. Compartment-specific enrichment of functional traits revealed spatial partitioning of microbial functions, with organic compound conversion and nitrogen cycling dominant in the heel, and energy metabolism enriched in the eye. Applying a macroecological abundance-occupancy framework, we identified a stable core microbiome of bacterial and fungal taxa that persisted across all environments and years. These core members were more strongly associated with plant growth-related traits than non-core taxa, and core taxa in different tuber compartments showed distinct correlations with taxa of potential pathogenic relevance. Together, our findings demonstrate that tuber compartments act as ecological filters that structure persistent, functionally specialised microbiomes linked to plant growth-related traits across environments. By providing an ecological and functional framework for compartment-resolved, stable core microbiomes, this study advances mechanistic understanding of plant-microbe interactions and identifies stable microbial partners as promising targets for improving potato resilience and productivity.

Journal Article↗

Depth-dependent multi-kingdom microbial interactions and biogeochemical cycling genes in eutrophic shallow lake sediments.

Microorganisms are pivotal to lake ecosystem biogeochemical cycles, yet existing research often focuses on single microbial kingdoms or surface sediments, neglecting multi-kingdom interactions and depth-resolved dynamics. To address these gaps, we used metagenomic sequencing to characterize microbial communities and their functional associations across overlying water and 0-45 cm sediments in four shallow lakes of the middle Yangtze River basin, China. Despite increasing bacterial and fungal diversity with depth, the 0-9 cm surface sediments exhibited the strongest multi-kingdom network connectivity and the greatest microbial stability. Functional genes exhibited clear depth-dependent patterns: nitrogen cycling genes, including those involved in dissimilatory nitrate reduction to ammonium, were most enriched in the upper 0-9 cm of sediment; methane cycling genes were positively correlated with depth; phosphorus cycling genes and some sulfur cycling genes, such as assimilatory sulphate reduction, declined with depth. Sediment microbial assembly was dominated by deterministic processes, in which the vertical distribution of functional genes was primarily dictated by heavy metals and conventional environmental indicators. These findings highlight depth-specific multi-kingdom microbial interactions and their associations with biogeochemical cycling, advancing lacustrine microbial ecology understanding and providing references for lake conservation under environmental change.

Lakes↗

Carbon metabolic homogenization is linked to microbial competition and antimicrobial resistance in soils under forest-to-cropland conversion.

Global agricultural expansion by converting natural forests into croplands often leads to soil functional homogenization and antimicrobial resistance enhancement, threatening ecosystem services. However, the associations between microbial carbon metabolic homogenization and antimicrobial resistance remain largely unknown. Here, we collected 240 paired forest and cropland soil samples from the most intensively farmed Yangtze River Basin in China, and constructed a novel framework based on microbial functional traits to decipher the role of carbon metabolic homogenization on antimicrobial resistance via microbial competition for metabolites. Using genome-scale metabolic models, we found that carbon metabolic homogenization was associated with a shift in microbial interactions from cooperation toward competition, with a 45.6% increase in competitive interactions that coincided with a 35.6% higher antimicrobial resistance gene (ARG) diversity. This shift was accompanied by smaller genome sizes and higher 16S rRNA copy numbers, indicating fast-growing, resource-acquisitive microbial strategies. Metabolic transfer analyses further revealed less cooperation relationships among microbial communities in cropland soils than in forest soils, indicating an intensified battle for communal metabolites and an attenuated exchange for complementary metabolites. Together, these findings provide a new framework to understand the association between carbon metabolic homogenization and soil antimicrobial resistance risks from the perspective of microbial traits and interactions under land use change.

Soil Microbiology↗

Direct isolation of functional genes encoding cellulases from the microbial consortia in a thermophilic, anaerobic digester maintained on lignocellulose.

Gene libraries ("zoolibraries") were constructed in Escherichia coli using DNA isolated from the mixed liquor of thermophilic, anaerobic digesters, which were in continuous operation with lignocellulosic feedstocks for over 10 years. Clones expressing cellulase and xylosidase were readily recovered from these libraries. Four clones that hydrolyzed carboxymethylcellulose and methylumbelliferyl-beta-D-cellobiopyranoside were characterized. All four cellulases exhibited temperature optima (60-65 degrees C) and pH optima (pH 6-7) in accordance with conditions of the enrichment. The DNA sequence of the insert in one clone (plasmid pFGH1) was determined. This plasmid encoded an endoglucanase (celA) and part of a putative beta-glucosidase (celB), both of which were distinctly different from all previously reported homologues. CelA protein shared limited homology with members of the A3 subfamily of cellulases, being similar to endoglucanase C from Clostridium thermocellum (40% identity). The N-terminal part of CelB protein was most similar to beta-glucosidase from Pseudomonas fluorescens subsp. cellulosa (28% homology). The use of zoolibraries constructed from natural or laboratory enrichment cultures offers the potential to discover many new enzymes for biotechnological applications.

Amino Acid Sequence↗

Regulation of autoimmune disease by natural killer T cells.

Natural killer T (NKT) cells express phenotypic characteristics shared by conventional natural killer cells and T cells, and reside in several primary and secondary lymphoid as well as nonlymphoid organs. Although these cells possess important effector functions in immunity against cancer and microbial pathogens, their immunoregulatory function has received much recent attention. There is convincing evidence to suggest a regulatory role for these cells in the control of susceptibility to autoimmune disease. NKT cells are reduced in number and function in autoimmune disease prone mice and humans. Studies conducted in mice have shown that transfer of NKT cells to disease-susceptible recipients prevents the development of autoimmune disease. The recent discovery that alpha-galactosylceramide, a glycolipid, can specifically target NKT cells expressing the invariant T cell receptor (TCR) to proliferate and produce an array of regulatory cytokines and chemokines has generated considerable interest to utilize these cells as targets of new therapeutic interventions for the immunoregulation of autoimmune disease

Animals↗

Microbial isopenicillin N synthase genes: structure, function, diversity and evolution.

Clinically and economically, penicillins and cephalosporins are the most important class of the beta-lactam antibiotics. They are produced by a wide variety of microorganisms including numerous species of Streptomyces, some unicellular bacteria and several filamentous fungi. A key step common to their biosynthetic pathways is the conversion of a linear, cysteine-containing tripeptide to a bicyclic beta-lactam antibiotic by isopenicillin N synthase. Recent successes in the cloning and expression of isopenicillin N synthase genes now permit production of a plentiful supply of this enzyme, which may be used for structural and mechanistic studies, or for biotechnological applications in the creation of novel beta-lactam compounds from peptide analogues. New ideas concerning the evolution and prevalence of the penicillin and cephalosporin biosynthetic genes have emerged from studies of isopenicillin N synthase genes.

Amino Acid Sequence↗