Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Genome, Microbial”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,351 records · Page 75Linked to original sources
PubMed2004

Genomic variations in myeloperoxidase gene in the Japanese population.

Myeloperoxidase (MPO; EC 1.11.1.7) is a lysosomal hemeprotein that plays an important role in the host defense mechanism against microbial diseases. This neutrophil disorder, characterized by the lack of MPO, may result in a weakened defense activity. Complete MPO deficiency has been postulated to be to originate from genomic mutation. Recently, two Japanese patients were reported with MPO deficiency. Both had base substitutions in the exon 9 region of the MPO gene; a region in close proximity functionally important residue, His502. Genomic DNA from 387 Japanese individuals was examined to determine the prevalence of these recently discovered base substitutions. None of these DNA samples possessed the mutations found in the MPO deficient cases, though two synonymous and one non-synonymous mutation were found. The frequency of mutation in the exon 9 coding region was estimated to be one heterozygote in 129, thus the homozygote of such mutations would be revealed one in 16,000 in the Japanese population.

Genetic Variation↗
PubMed2002

How Drosophila combats microbial infection: a model to study innate immunity and host-pathogen interactions.

During the past year, dramatic progress has been achieved in our understanding of Drosophila immune reactions. The completion of the Drosophila genome sequencing project, microarray analysis and the use of genetic screens have led to the identification of several new genes required to combat microbial infection, filling in some important gaps in the understanding of innate immunity. At the same time, this insect was used as a model for the study of host-pathogen interactions. The recent major advances on the mechanisms by which this insect defends itself against intrusion of pathogens are discussed in this review.

Animals↗
PubMed2025

Discrepancies in isoniazid susceptibility profiles: Bactec MGIT 960-resistant but GenoType MTBDRplus-susceptible Mycobacterium tuberculosis strains in Hunan, China.

UNLABELLED: Discordant drug susceptibility testing (DST) results between the Bactec MGIT 960 system (MGIT) and the GenoType MTBDRplus assay (MTBDRplus) for isoniazid (INH) complicate clinical decision-making. In this study, we performed minimum inhibitory concentration (MIC) assays and whole-genome sequencing (WGS) on 53 Mycobacterium tuberculosis strains identified as INH-resistant by MGIT but INH-susceptible by MTBDRplus. The variants conferring INH resistance were evaluated by the WHO mutation catalogue. Our results showed that only five strains carried variants classified as "associated with resistance" (Group 1/2), including katG Trp39STOP, katG Ser315Asn, inhA -154G>A, and inhA Ser94Ala. In addition, 44 strains carried 70 variants classified as "Group 3: Uncertain significance" across nine genes, including katG, ahpC, inhA, Rv0010c, Rv1129c, Rv2752c, mshA, dnaA, and Rv1258c. The remaining four strains carried no variants (Groups 1-3) linked to INH resistance. No significant difference in the prevalence of high-level INH resistance was observed between lineage 2 and lineage 4 strains (χ² = 0.232, P = 0.630). Our findings indicate that the variants classified as "uncertain significance" may be the main genetic determinants causing discordant results, highlighting their associations with INH resistance that need to be further investigated. IMPORTANCE: This study addresses a critical challenge in drug susceptibility testing (DST): the discrepancies in DST results for isoniazid (INH) between the Bactec MGIT 960 system and the GenoType MTBDRplus assay. These discordant results significantly complicate treatment decisions, potentially leading to suboptimal patient outcomes. Using MIC assays and WGS on 53 clinical Mycobacterium tuberculosis strains, we provide valuable insights into the genetic basis of INH resistance. Our findings showed that only a small fraction of strains carried variants definitively linked to INH resistance, while a larger number harbored variants of uncertain significance across multiple genes, underscoring the complexity of INH resistance mechanisms. This study highlights the urgent need to refine our understanding of these "Group 3: uncertain significance" variants, as they appear to be a primary driver of the discrepancies. Additionally, this study emphasizes the importance of integrating advanced sequencing tools into DST to improve the accuracy of INH resistance detection.

Isoniazid↗
PubMed2003

The University of Minnesota Biocatalysis/Biodegradation Database: post-genomic data mining.

The University of Minnesota Biocatalysis/Biodegradation Database (UM-BBD, http://umbbd.ahc.umn.edu/) provides curated information on microbial catabolism and related biotransformations, primarily for environmental pollutants. Currently, it contains information on over 130 metabolic pathways, 800 reactions, 750 compounds and 500 enzymes. In the past two years, it has increased its breath to include more examples of microbial metabolism of metals and metalloids; and expanded the types of information it includes to contain microbial biotransformations of, and binding interactions with many chemical elements. It has also increased the ways in which this data can be accessed (mined). Structure-based searching was added, for exact matches, similarity, or substructures. Analysis of UM-BBD reactions has lead to a prototype, guided, pathway prediction system. Guided prediction means that the user is shown all possible biotransformations at each step and guides the process to its conclusion. Mining the UM-BBD's data provides a unique view into how the microbial world recycles organic functional groups. UM-BBD users are encouraged to comment on all aspects of the database, including the information it contains and the tools by which it can be mined. The database and prediction system develop under the direction of the scientific community.

Biodegradation, Environmental↗
PubMed2004

Evolution of the PPM-family protein phosphatases in Streptomyces: duplication of catalytic domain and lateral recruitment of additional sensory domains.

Originally identified from eukaryotes, the Mg2+- or Mn2+-dependent protein phosphatases (PPMs) are a diverse group of enzymes whose members include eukaryotic PP2C and some prokaryotic serine/threonine phosphatases. In a previous study, unexpectedly large numbers of PPMs were identified in two Streptomyces genomes. In this work, a phylogenetic analysis was performed with all the PPMs available from a wide variety of microbial sources to determine the evolutionary origin of the Streptomyces PPM proteins. Consistent with earlier hypotheses, the results suggested that the microbial PPMs were relatively recent additions from eukaryotic sources. Results also indicated that the Streptomyces PPMs were divided into two major subfamilies at an early stage of their emergence in Streptomyces genomes. The first subfamily, which contains only six Streptomyces PPMs, possesses a catalytic domain whose sequence and architecture are similar to that of eukaryotic PPMs; the second subfamily contains 89 Streptomyces PPMs that lack the 5a and 5b catalytic domain motifs, similar to the PPMs SpoIIE and RsbU of Bacillus subtilis. Significant gene duplication was observed for the PPMs in the second subfamily. In addition, more than half (54 %) of the Streptomyces PPMs from the second subfamily were found to have at least one additional sensory domain, most commonly the PAS or the GAF domain. Phylogenetic analysis showed that these domains tended to be clustered according to the putative physiological functions rather than taxonomic relationship, implying that they might have arisen as a result of domain recruitment in a late evolutionary stage. This study provides an insight into how Streptomyces spp. may have expanded their PPM-based signal transduction networks to enable them to respond to a greater range of environmental changes.

Catalytic Domain↗
PubMed2025

Genome-wide characterization of hypothiocyanite stress response in Escherichia coli.

UNLABELLED: Oxidative stress is one of the major methods of microbial population control and pathogen clearing by the mammalian immune system. The methods by which bacteria are able to escape damage by host-derived oxidants such as hydrogen peroxide (H2O2) and hypochlorous acid (HOCl) have been relatively well described, while other oxidants' effects on bacteria and their genetic responses are not as well understood. Hypothiocyanite/hypothiocyanous acid (OSCN-/HOSCN) is one such oxidative stress agent. In this study, we used RNA-sequencing to characterize the global transcriptional response of Escherichia coli to treatment with HOSCN and the impact of deletions of the HOSCN resistance proteins RclA (HOSCN reductase), RclB, and RclC on that response. The HOSCN response of E. coli was different from the previously characterized responses of E. coli to other oxidants such as H2O2, superoxide, or HOCl and distinct from the reported responses of other bacteria such as Streptococcus pneumoniae and Pseudomonas aeruginosa to HOSCN. Strikingly, deletion of any one of the Rcl proteins had very similar effects on the transcriptional response to HOSCN, indicating that any disruption of HOSCN defense in E. coli results in similar impacts, despite the fact that we do not currently understand the mechanism(s) by which RclB and RclC contribute to that defense. IMPORTANCE: Understanding how bacteria sense and respond to oxidative stress provides insights into how our bodies interact with the microbial population within us. In this study, we have characterized the genetic response of E. coli to the important immune oxidant hypothiocyanite and investigated the role of rclABC genes in that response.

Escherichia coli↗
PubMedDate not supplied

Mechanisms in microbial evolution.

Molecular genetic studies with prokaryotic microorganisms reveal that many different molecular processes contribute to the formation of spontaneous mutations. Besides infidelities in DNA replication and the consequences of environmental mutagens, enzyme-mediated DNA rearrangements bring about important, evolutionarily relevant alterations in the genetic information. Particular attention is given in this article to site-specific recombination at secondary crossover sites and to the transposition of mobile genetic elements with relaxed target specificity. Besides these diverse processes of genomic mutation the acquisition of genetic information from other organisms plays an uncontested role in microbial evolution. Enzymes and organelles mediating any of these mutational processes can be looked at as biological functions acting at the level of populations for the needs of biological evolution, rather than to fulfill the needs of individual living organisms.

Bacteria↗
PubMed2026

Whole-genome profiling of antimicrobial resistance and virulence determinants in extensively-drug resistant Pseudomonas aeruginosa isolates causing ventilator associated pneumonia in Egypt.

Among critically ill ICU patients under prolonged mechanical ventilation, Pseudomonas aeruginosa is one of the most common cause of ventilator-associated pneumonia (VAP), with antimicrobial pressure leading to emergence of multidrug, extensively drug and pandrug-resistant (PDR) strains. In Egypt, very little genomic data exist on P. aeruginosa associated with VAP. This study aimed at characterizing the antimicrobial resistance (AMR) determinants, virulence repertoire, MGEs, and sequence types of two highly drug-resistant Pseudomonas aeruginosa isolates, including one pandrug-resistant colistin-resistant isolate and one extensively drug-resistant colistin-susceptible isolate from respiratory tract of Egyptian ICU patients suffering from VAP. The two isolates were identified conventionally and confirmed to the species level using MALDI-TOF MS. Antibiotic susceptibility was assessed using the VITEK-2 Compact system and the broth microdilution method. Genome analysis was performed using PATRIC, ResFinder, CARD, and Mobile Element Finder. For both isolates, resistance was found to all antibiotics routinely tested, however, one isolate had high-level colistin resistance (MIC > 64 µg/mL), while the other isolate was still colistin susceptible. Whole-genome sequencing identified two rare sequence types, ST2023 and ST2685, both 6.5-7.6 Mb in size with a 66% GC content. The presence of 21 MGEs in the SRR36105565 genome shows that it has high genomic flexibility, including a broader resistome than other strains, such as blaVIM-2 and OXA variants, aminoglycoside-modifying enzymes, crpP, and disinfectant-resistance markers. Both isolates retained large virulence determinants including Type III and Type VI secretion systems, alginate regulation genes, quorum-sensing networks, and siderophore biosynthesis clusters. It also represents one of the first genomic studies of VAP associated PDR P. aeruginosa from Egypt. The combination of widespread AMR with intact virulence supports the potential value of future genomic surveillance efforts and improved antimicrobial stewardship in local ICUs.

Pneumonia, Ventilator-Associated↗
PubMed1995

Rice aspartic proteinase, oryzasin, expressed during seed ripening and germination, has a gene organization distinct from those of animal and microbial aspartic proteinases.

The gene organization and nucleotide sequence of an aspartic proteinase (AP) of plant origin were first disclosed by cDNA and genomic DNA cloning of a rice AP (oryzasin). The deduced amino acid sequence of oryzasin 1 was significantly similar to those of other APs (34-85%), with highest similarity (85%) to barley AP (HvAP). Oryzasin 1, as well as HvAP, is distinct from animal and microbial APs in that the plant APs contain a unique 104-amino-acid insertion in the C-terminal region. The oryzasin 1 gene spans approximately 6.6 kbp and is composed of 14 exons and 13 introns. The exon-intron organization of the oryzasin 1 gene is totally different from those of genes for animal and microbial APs such as human cathepsin D, rat renin, bovine chymosin, aspergillopepsin A of Aspergillus awamori, proteinase A of Saccharomyces cerevisiae and rhizopuspepsin of Rhizopus niveus, despite the fact that oryzasin 1 shows overall sequence similarity to these APs.

Amino Acid Sequence↗
PubMed2026

Gut microbiota dynamics and metabolic pathways associated with bleomycin-induced pulmonary fibrosis progression.

BACKGROUND: Pulmonary fibrosis (PF) is a progressive respiratory disease characterized by epithelial injury, aberrant repair and excessive extracellular matrix deposition. Although the gut-lung axis is increasingly implicated in respiratory disorders, stage-resolved characterization of gut microbiota taxonomic and functional potential during PF development is limited. METHODS: We established a bleomycin-induced murine PF model and performed cross-sectional shotgun metagenomic sequencing of fecal samples from separate cohorts at three defined stages: baseline (control), day 7 (early fibrosis; M7), and day 14 (established fibrosis; M14). Microbial taxonomy, alpha/beta diversity, and predicted functional capacity were inferred using Kyoto Encyclopedia of Genes and Genomes (KEGG) and Carbohydrate-Active enZymes (CAZy) annotations; associations were assessed using Procrustes and Spearman correlation analyses. RESULTS: Histopathology and immunohistochemistry confirmed progressive fibrogenesis with increased TGF-β1 and α-SMA expression. Compared with baseline, bleomycin-treated groups exhibited stage-specific shifts in gut microbial composition, including depletion of mucin-associated taxa (e.g., Prevotella, Akkermansia muciniphila) and expansion of Muribaculaceae- and Clostridiaceae-affiliated taxa. Alpha and beta diversity metrics differed across groups. KEGG/CAZy-based annotations revealed predicted, stage-dependent changes in microbial metabolic potential, including early reductions in pathways related to amino acid and glycan metabolism (M7) and later increases in predicted starch/sucrose catabolism, phosphotransferase system (PTS) representation, and secondary bile acid biosynthesis (M14). Correlation analyses linked compositional shifts to these predicted functional changes. CONCLUSION: In a stage-resolved, cross-sectional study, bleomycin-associated pulmonary fibrosis was accompanied by compositional and predicted functional alterations in the gut microbiota. These data identify candidate taxa and predicted pathways for follow-up mechanistic testing, but functional (metabolomic) and causality experiments are required to confirm whether and how microbial changes contribute to PF pathogenesis.

Animals↗
PubMed2003

Phydbac (phylogenomic display of bacterial genes): An interactive resource for the annotation of bacterial genomes.

Phydbac is a web interactive resource based on phylogenomic profiling, designed to help microbiologists to annotate bacterial proteins. Phylogenomic annotation is based on the assumption that functionally linked protein-coding genes must evolve in a coordinated manner. The detection of subsets of co-evolving genes within a given genome involves the computation of protein sequence conservation profiles across a spectrum of microbial species, followed by the identification of significant pairwise correlations between them. Many ongoing studies are devoted to the problem of computing the most biologically significant phylogenomic profiles and how best identifying clusters of 'functionally interacting' genes. Here we introduce a web tool, Phydbac, allowing the dynamic construction of phylogenomic profiles of protein sequences of interest and their interactive display. In addition, Phydbac can identify Escherichia coli proteins exhibiting the evolution pattern most similar to arbitrary query protein sequences, hence providing functional hints for open reading frames (ORFs) of hypothetical or unknown function. The phylogenomic profiles of all E.coli K-12 protein-coding genes are pre-computed, allowing queries about E.coli genes to be answered instantaneously. The profiles and phylogenomic neighborhoods are computed using an original method shown to perform better than previous ones. An extension of Phydbac, including precomputed profiles for all available bacterial genomes (including major pathogens) will soon be available. Phydbac can be accessed at: http://igs-server.cnrs-mrs.fr/phydbac/.

Bacterial Proteins↗
PubMed2005

Proteomic analysis using an unfinished bacterial genome: the effects of subminimum inhibitory concentrations of antibiotics on Mannheimia haemolytica virulence factor expression.

Here we identify, using nonelectrophoretic proteomics, effects of subminimum inhibitory concentrations (subMIC) of two antibiotic preparations, chlortetracycline (CTC), and chlortetracycline-sulfamethazine (CTC + SMZ), on protein expression in the bovine respiratory pathogen Mannheimia haemolytica. The M. haemolytica genome is currently in draft form, and annotation is incomplete. Relying on the principle of gene sequence conservation across species, we used annotated genomes from closely related species to identify, confirm, and functionally annotate 495 M. haemolytica proteins. To conduct quantitative comparative proteomics, we developed a protein quantitation method based on the cross correlation function of the SEQUEST algorithm. When M. haemolytica was cultivated in the presence of 1/4 MIC of CTC and CTC + SMZ, expression of proteins involved in energy production, nucleotide metabolism, translation, and the bacterial stress response (chaperones) were affected. The most notable subMIC effect was a significant decrease in the expression of leukotoxin A, which is an important M. haemolytica virulence factor. Reduction in leukotoxin expression could be one of the molecular mechanisms responsible for the efficacy of these antibiotics against bovine respiratory disease.

Algorithms↗
PubMed1999

Dinucleotide repeat polymorphism in the third intron of the NRAMP2/DMT1 gene.

Nramp1 (natural resistance-associated macrophage protein 1), encoding a polytropic integral membrane protein, was isolated as a candidate of the mouse Lsh/Ity/Bcg locus, which regulates macrophage activation for anti-microbial activity against intracellular pathogens. The NRAMP2 gene was cloned from human genome as a homologue of NRAMP1. We found a polymorphic dinucleotide repeat in the third intron of the NRAMP2 gene. This polymorphism will be a useful genetic marker to study disease associated with susceptibility to infection with intracellular pathogens.

Base Sequence↗
PubMed2005

A genome-wide overexpression screen in yeast for small-molecule target identification.

We describe a multicopy gene suppression screen of drug sensitivity in Saccharomyces cerevisiae that facilitates the identification of cellular targets of small molecules. An array of yeast transformants harboring a multicopy yeast genomic library was screened for resistance to growth inhibitors. Comparison of array growth patterns for several such inhibitors allowed the differentiation of general and molecule-specific genetic suppressors. Specific resistance to phenylaminopyrimidine (1), an inhibitor identified from a kinase-directed library, was associated with the overexpression of Pkc1 and a subset of downstream kinases. Components of two other pathways (pheromone response/filamentous growth and Pho85 kinase) that genetically interact with the PKC1 MAPK signaling cascade were also identified. Consistent with the suppression screen, inhibitor 1 bound to Pkc1 in yeast cell lysate and inhibited its activity in vitro. These results demonstrate the utility of this approach for the rapid deconvolution of small-molecule targets.

Drug Evaluation, Preclinical↗
PubMed2025

A global survey of taxa-metabolic associations across mouse microbiome communities.

Host-microbiota mutualism is rooted in the exchange of dietary and metabolic molecules. Microbial diversity broadens the metabolite pool, with each taxon contributing distinct compounds in varying proportions. In the human microbiome, high variability in consortial composition is largely compensated by similar metabolic functions across different taxa. However, the extent of compensation in lower diversity mouse models, and whether vivaria are metabolically equivalent, is unknown. We provide a searchable resource of microbiome composition variability across 51 murine vivaria and 12 wild mouse colonies worldwide, with vivarium-specific variants mapped according to predicted 3D structures for each microbial species. Our matched metabolomics data show that realized metabolic potential has relatively low variability, providing functional evidence for metabolic compensation. Additionally, variability is related to taxonomic composition rather than vivarium, revealing taxa-metabolite associations that are potentially relevant to phenotypic differences between vivaria. Collectively, this resource offers tools to strengthen microbiome studies and collaborative science.

Animals↗
PubMed2005

Functional ingredient production: application of global metabolic models.

The biotechnology industry continuously explores new ways to improve the performance of microbial strains in fermentation processes. Recent focus has been on new genome-wide modelling approaches in functional genomics, which aim to take full advantage of genome sequence data, transcription profiling, proteomics and metabolite profiling for strain improvement. The integration of global metabolic models with genetic and regulatory models will be essential for the practice of metabolic engineering for strain improvement to move forward, simply because we cannot rely on our intuition to grasp the complexity of the biological systems involved.

Bacterial Physiological Phenomena↗
PubMed2004

Immune responses in Anopheles gambiae.

Transmission of human malaria requires a successful development of Plasmodium parasites in anopheline mosquitoes. Insects have developed efficient immune responses to oppose microbial and eukaryotic invaders. The completion of the sequencing of the Anopheles genome provides a wealth of information on putative immune genes that are homologous to components of the Drosophila and mammalian immune systems. In this review, we will summarize our present knowledge of immune responses in the mosquito Anopheles gambiae and attempt a comparative analysis of insect immune systems.

Animals↗
PubMed2026

Building biofilms for saline hydrogenotrophic denitrification from contrasting origins: Convergent acclimation, divergent performance.

Hydrogenotrophic denitrification is promising for deep nitrogen removal from saline, low-C/N wastewaters, but rapid establishment of stable biofilms at high salinity remains challenging. Here, two saline-adapted inocula from two representative, functionally contrasting habitats-a functionally-diversified inoculum from mangrove sediment and a functionally-focused inoculum from seabed sediment-were acclimated in parallel H2-based membrane biofilm reactors at constant 3.5% salinity. The Diverse-derived biofilm required 80 d to reach steady state and achieved only partial denitrification with 61.1% nitrate removal and considerable nitrite accumulation. In contrast, the Focus-derived biofilm rapidly established complete denitrification within ∼40 d, which was maintained for >50 d, with effluent NOx- below 1 mg-N·L-1 and 98.7% nitrate removal. Microbiome analyses showed that identical operation promoted convergence in community structure and enriched similar community-level functional potentials. However, genome-resolved analysis revealed distinct source-dependent functional organization among dominant microbial populations. Complete denitrifiers co-encoding denitrifying, hydrogenotrophic, and autotrophic functions were preferentially enriched in the Focus-derived biofilm, whereas these functions remained partitioned among different dominant populations in the Diverse-derived biofilm, coinciding with less complete denitrification. These findings indicate that saline hydrogenotrophic denitrification performance depends not only on which functions are enriched at the community level, but also on how key functions become organized among microbial populations, providing a previously overlooked criterion for inoculum selection in saline biological nitrogen control.

Complete denitrification↗