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PubMed1996

[Multi-drug resistance of serovar E strains in clinically isolated Pseudomonas aeruginosa and analysis of genome pattern].

We analyzed the in vitro antibiotic susceptible pattern and serovar for 132 strains of pseudomonas aeruginosa (98 from inpatients and 34 from outpatients) isolated at Showa University hospital from September to December of 1993. The ratio of resistant strains was 38.6% for carbenicillin, 12.1% for piperacillin, 12.9% for ceftazidime, 12.1% for cefsulodin, 17.4% for cefoperazone, 9.1% for cefclidin, 24.2% for cefpirome, 7.6% for imipenem, 17.4% for amikacin, 16.7% for aztreonam, 89.4% for minocycline and 33.3% for ofloxacin. The incidence of resistance against minocycline, carbenicillin, ofloxacin was markedly high. Among the 132 tested strains of Pseudomonas aeruginosa, 16 were multi-drug resistant strains (i.e., resistant to more than 8 drugs out of 12 drugs), and 14 of the multi-drug resistant strains (87.5%) were isolated from inpatients. Multi-drug resistant strains were isolated most frequently from urine specimens. The antibiotics that remained effective against the multi-drug resistant strains included amikacin, imipenem, cefclidin and cefsulodin. The serovar of 116 strains (resistant to up to 7 drugs) was 27 for G, 24 for B, and 19 for E, and 15 of the 16 multi-drug resistant strains showed serovar E. Restriction enzyme SpeI digestion analysis (using pulse field electrophoresis) of P. aeruginosa having serovar E revealed common 650kb and 540kb bands in multi-drug resistant strains. The genome pattern was quoted for serovar E strain according to the restriction enzyme digestion pattern and was shown to be useful for tracing the route of infection.

Drug Resistance, Microbial↗

PubMed2002

Comparative genomic analysis of archaeal genotypic variants in a single population and in two different oceanic provinces.

Planktonic crenarchaeotes are present in high abundance in Antarctic winter surface waters, and they also make up a large proportion of total cell numbers throughout deep ocean waters. To better characterize these uncultivated marine crenarchaeotes, we analyzed large genome fragments from individuals recovered from a single Antarctic picoplankton population and compared them to those from a representative obtained from deeper waters of the temperate North Pacific. Sequencing and analysis of the entire DNA insert from one Antarctic marine archaeon (fosmid 74A4) revealed differences in genome structure and content between Antarctic surface water and temperate deepwater archaea. Analysis of the predicted gene products encoded by the 74A4 sequence and those derived from a temperate, deepwater planktonic crenarchaeote (fosmid 4B7) revealed many typical archaeal proteins but also several proteins that so far have not been detected in archaea. The unique fraction of marine archaeal genes included, among others, those for a predicted RNA-binding protein of the bacterial cold shock family and a eukaryote-type Zn finger protein. Comparison of closely related archaea originating from a single population revealed significant genomic divergence that was not evident from 16S rRNA sequence variation. The data suggest that considerable functional diversity may exist within single populations of coexisting microbial strains, even those with identical 16S rRNA sequences. Our results also demonstrate that genomic approaches can provide high-resolution information relevant to microbial population genetics, ecology, and evolution, even for microbes that have not yet been cultivated.

Amino Acid Sequence↗

PubMed2006

Expression profiling of Yersinia pestis during mouse pulmonary infection.

Yersinia pestis, the causative agent of plague, can be transmitted by infected flea bite or inhaled aerosol. Both routes of infection have a high mortality rate, and pneumonic infections of Y. pestis represent a significant concern as a tool of bioterrorism. Understanding the transcriptional program of this pathogen during pulmonary infection should be valuable in understanding plague pathogenesis, as well as potentially offering insights into new vaccines and therapeutics. Toward this goal we developed a long oligonucleotide microarray to the plague bacillus and evaluated the expression profiles of Y. pestis in vitro and in the mouse pulmonary infection model in vivo. The in vitro analysis compared expression patterns at 27 versus 37 degrees C, as a surrogate of the transition from the flea to the mammalian host. The in vivo analysis used intranasal challenge to the mouse lung. By amplifying the Y. pestis RNA from individual mouse lungs we were able to map the transcriptional profile of plague at postinfection days 1 to 3. Our data present a very different transcriptional profile between in vivo and in vitro expression, suggesting Y. pestis responds to a variety of host signals during infection. Of note was the number of genes found in genomic regions with altered %GC content that are upregulated within the mouse lung environment. These data suggest these regions may provide particularly promising targets for both vaccines and therapeutics.

Administration, Intranasal↗

PubMed2026

Genomic determinants of fluoroquinolone resistance in Escherichia coli in Nigeria: dominance of QRDR mutations and limited contribution of PMQR in a cross-sectional study.

BACKGROUND: Fluoroquinolone-resistant Escherichia coli is a major global clinical threat, particularly in low- and middle-income countries like Nigeria. However, the full genomic landscape, including the relative contributions of chromosomal mutations, plasmid-mediated resistance, and the role of high-risk clones, remains poorly characterized in this setting. This study aimed to define the genomic mechanisms, clonal distribution, and genotype-phenotype relationships of fluoroquinolone resistance in clinical E. coli isolates from Nigeria. METHODS: A cross-sectional study of 107 clinical E. coli isolates was conducted. Phenotypic susceptibility to ciprofloxacin and nalidixic acid was determined using VITEK 2 and broth microdilution. Whole-genome sequencing was performed, and analysis included detection of quinolone resistance determining region (QRDR) mutations (gyrA, parC, parE) and plasmid-mediated quinolone resistance (PMQR) genes, multilocus sequence typing (MLST), and phylogenetic analysis. Statistical associations were evaluated using chi-squared tests or Fisher's exact tests. RESULTS: Ciprofloxacin non-susceptibility was high at 86.0%. Resistance was primarily driven by a conserved chromosomal mutation profile; the combination of gyrA S83L, gyrA D87N, and parC S80I was present in 85 isolates and was associated with ciprofloxacin non-susceptibility in all affected isolates in this cohort. Isolates with only gyrA mutations were resistant to nalidixic acid but susceptible to ciprofloxacin, consistent with a stepwise resistance pathway. In this cohort, the triple QRDR signature (gyrA S83L + gyrA D87N/Y + parC S80I) was a perfect positive predictor of ciprofloxacin non-susceptibility (85/85; 100%). The ST131 lineage dominated, accounting for 21.5% of isolates and universally carrying the complete triple QRDR profile; notably, no ST131 isolate carried a PMQR determinant. Plasmid-mediated quinolone resistance (PMQR) genes were detected in 15.0% of isolates but were not independently associated with ciprofloxacin non-susceptibility in this cohort in the absence of concomitant QRDR mutations. Efflux pump genes were ubiquitous and non-predictive. Notably, six isolates, all from urine, were non-susceptible (R/I) despite lacking all known QRDR and PMQR determinants, pointing to uncharacterized mechanisms. In a multivariable logistic regression model that included ST131 status, PMQR carriage, and parE mutation status, ST131 was associated with ciprofloxacin non-susceptibility (adjusted OR 5.96, 95% CI 1.21-29.4, p = 0.028), whereas PMQR carriage was not (adjusted OR 0.94, 95% CI 0.18-4.85, p = 0.94). The triple QRDR signature was not included in this model because it perfectly predicted ciprofloxacin non-susceptibility in this cohort. Resistance patterns varied by clinical source, with the highest burden in bloodstream and wound infections. This stepwise hierarchy from first-step gyrA mutations to the classic triple QRDR profile is summarised in the graphical abstract, Fig. 1. CONCLUSIONS: Fluoroquinolone resistance in Nigerian clinical E. coli is predominantly driven by chromosomal QRDR mutations within successful clones like ST131. PMQR genes and efflux pumps appeared to play a supplementary role rather than being independent drivers of ciprofloxacin resistance in this cohort. These data support prioritising key QRDR mutations in genomic reporting and local stewardship decisions, while the QRDR-negative resistant urine isolates require further investigation.

Escherichia coli↗

PubMed2026

VicMAG, an open-source tool for visualizing circular metagenome-assembled genomes highlighting bacterial virulence and antimicrobial resistance.

Bacterial pathogens spread in clinical and environmental settings, and mobile genetic elements (MGEs), such as plasmids and phages, mediate the transfer of virulence factor genes (VFGs) and antimicrobial resistance genes (ARGs) among bacterial communities. Metagenomic analysis of environmental and wastewater samples using highly accurate long-read sequencing technologies, such as Pacific Biosciences (PacBio) HiFi sequencing, provides valuable insights into monitoring the regional spread of VFGs and ARGs, including dissemination mediated by MGEs. No visualization tool is currently available for the comprehensive display of numerous resulting circular metagenome-assembled genomes (cMAGs) with functional gene annotations. Here, we developed visualization of circular metagenome-assembled genome (VicMAG), a visualization tool for highly complex cMAGs derived from long-read metagenome assemblies annotated using updated databases of VFGs, ARGs, and MGEs. Using 353 cMAGs from PacBio HiFi sequencing of a wastewater sample, we demonstrated the utility of VicMAG for metagenome visualization. VicMAG provides comprehensive, size-aware visualization of cMAGs representing bacterial chromosomes and plasmids, annotated with VFGs, ARGs, and phages. By simultaneously visualizing all cMAGs in a framework, VicMAG facilitates a holistic understanding of the distribution and genomic context of VFGs and ARGs across complex microbial communities. This tool supports integrated surveillance of bacteria associated with virulence and antimicrobial resistance across clinical, environmental, and One Health contexts.

Metagenome↗

PubMed2005

Modeling Lactococcus lactis using a genome-scale flux model.

BACKGROUND: Genome-scale flux models are useful tools to represent and analyze microbial metabolism. In this work we reconstructed the metabolic network of the lactic acid bacteria Lactococcus lactis and developed a genome-scale flux model able to simulate and analyze network capabilities and whole-cell function under aerobic and anaerobic continuous cultures. Flux balance analysis (FBA) and minimization of metabolic adjustment (MOMA) were used as modeling frameworks. RESULTS: The metabolic network was reconstructed using the annotated genome sequence from L. lactis ssp. lactis IL1403 together with physiological and biochemical information. The established network comprised a total of 621 reactions and 509 metabolites, representing the overall metabolism of L. lactis. Experimental data reported in the literature was used to fit the model to phenotypic observations. Regulatory constraints had to be included to simulate certain metabolic features, such as the shift from homo to heterolactic fermentation. A minimal medium for in silico growth was identified, indicating the requirement of four amino acids in addition to a sugar. Remarkably, de novo biosynthesis of four other amino acids was observed even when all amino acids were supplied, which is in good agreement with experimental observations. Additionally, enhanced metabolic engineering strategies for improved diacetyl producing strains were designed. CONCLUSION: The L. lactis metabolic network can now be used for a better understanding of lactococcal metabolic capabilities and potential, for the design of enhanced metabolic engineering strategies and for integration with other types of 'omic' data, to assist in finding new information on cellular organization and function.

Bacteria, Anaerobic↗

PubMed2001

Comparing genomes within the species Mycobacterium tuberculosis.

The study of genetic variability within natural populations of pathogens may provide insight into their evolution and pathogenesis. We used a Mycobacterium tuberculosis high-density oligonucleotide microarray to detect small-scale genomic deletions among 19 clinically and epidemiologically well-characterized isolates of M. tuberculosis. The pattern of deletions detected was identical within mycobacterial clones but differed between different clones, suggesting that this is a suitable genotyping system for epidemiologic studies. An analysis of genomic deletions among an extant population of pathogenic bacteria provided a novel perspective on genomic organization and evolution. Deletions are likely to contain ancestral genes whose functions are no longer essential for the organism's survival, whereas genes that are never deleted constitute the minimal mycobacterial genome. As the amount of genomic deletion increased, the likelihood that the bacteria will cause pulmonary cavitation decreased, suggesting that the accumulation of mutations tends to diminish their pathogenicity. Array-based comparative genomics is a promising approach to exploring molecular epidemiology, microbial evolution, and pathogenesis.

Evolution, Molecular↗

PubMed2004

Arsenical resistance genes in Saccharomyces douglasii and other yeast species undergo rapid evolution involving genomic rearrangements and duplications.

We have isolated and characterized three adjacent Saccharomyces douglasii genes that share remarkable structural homology (97% amino acid sequence identity) with Saccharomyces cerevisiae ARR1 (ACR1), ARR2 (ACR2) and ARR3 (ACR3) genes involved in arsenical resistance. The ARR2 and ARR3 genes encoding the cytoplasmic arsenate reductase and the plasma membrane arsenite transporter are functionally interchangeable in both yeast species. In contrast, a single copy of S. douglasii ARR1 gene is not sufficient to complement the arsenic hypersensitivity of a S. cerevisiae mutant lacking the transcriptional activator Arr1p. This inability may be related to a deletion of a 35-bp sequence including the putative Yap-binding element in the ARR1 promoter of S. douglasii. Different mechanisms of regulation of ARR1 genes expression may therefore explain the increased tolerance of S. douglasii to arsenic in comparison with S. cerevisiae. The apparent duplication of the ARR gene cluster in the S. douglasii genome may constitute another factor contributing to the observed differences in arsenic sensitivity. Comparison of ARR genes from the genomes of several yeast species indicates that they are located in subtelomeric regions undergoing rapid evolution involving large-scale genomic rearrangements.

Amino Acid Sequence↗

PubMed1997

Random insertion of transposon Tn4001 in the genome of Spiroplasma citri strain GII3.

Electroporation of Spiroplasma citri strain GII3 with plasmid pMUT containing the Staphylococcus aureus transposon Tn4001 resulted in random insertion of Tn4001 into the spiroplasmal genome. Transformation frequencies reached 10(-8) per colony-forming unit (CFU) when 100 microg of plasmid DNA and 3 x 10(9) S. citri CFU were used. Three other strains of S. citri failed to be transformed under the same conditions. In most cases Tn4001 was randomly inserted in the genome of S. citri strain GII3, without insertion of the carrier plasmid. For most transformed spiroplasmas, Tn4001 was stably maintained in the absence of antibiotic selection for at least 80 bacterial generations, making Tn4001 a potential tool for S. citri mutagenesis.

Anti-Bacterial Agents↗

PubMed2006

Application of sequence-based methods in human microbial ecology.

Ecologists studying microbial life in the environment have recognized the enormous complexity of microbial diversity for many years, and the development of a variety of culture-independent methods, many of them coupled with high-throughput DNA sequencing, has allowed this diversity to be explored in ever-greater detail. Despite the widespread application of these new techniques to the characterization of uncultivated microbes and microbial communities in the environment, their application to human health and disease has lagged. Because DNA-based techniques for defining uncultured microbes allow not only cataloging of microbial diversity but also insight into microbial functions, investigators are beginning to apply these tools to the microbial communities that abound on and within us, in what has aptly been called "the second Human Genome Project." In this review we discuss the sequence-based methods for microbial analysis that are currently available and their application to identify novel human pathogens, improve diagnosis of known infectious diseases, and advance understanding of our relationship with microbial communities that normally reside in and on the human body.

Animals↗

PubMed2005

[High expression of mirobial transglutaminase gene from Streptoverticillium mobaraense in Escherichia coli].

The microbial transglutamunase (MTG) gene was amplified from the genomic DNA of Streptoverticillium mobaraensea by using PCR and inserted into pET vector to construct the expression plasmid called pET-MTG. The pET-MTG was transfected into E. coli (Rosetta DE3) and the MTG protein was found to be highly expressed as inclusion bodies. The inclusion bodies were isolated and subjected to denaturation and re-naturation, followed by strong cation ion-exchange chromatography to purify the expressed MTG. The specific activity of purified MTG was close to that of native MTG. Taken together, this study might provide a base for the industrial production of microbial transglutaminase.

Bacterial Proteins↗

PubMed2000

An overview of structural genomics.

With access to sequences of entire human genomes plus those of various model organisms and many important microbial pathogens, structural biology is on the verge of a dramatic transformation. Our newfound wealth of sequence information will serve as the foundation for an important initiative in structural genomics. We are poised to embark on a systematic program of high-throughput X-ray crystallography and NMR spectroscopy aimed at developing a comprehensive view of the protein structure universe. Structural genomics will yield a large number of experimental protein structures (tens of thousands) and an even larger number of calculated comparative protein structure models (millions). This enormous body of structural data will be freely available, and promises to accelerate scientific discovery in all areas of biological science, including biodiversity and evolution in natural ecosystems, agricultural plant genetics, breeding of farm and domestic animals, and human health and disease.

Animals↗

PubMed2006

Multilocus sequence typing method for identification and genotypic classification of pathogenic Leptospira species.

BACKGROUND: Leptospira are the parasitic bacterial organisms associated with a broad range of mammalian hosts and are responsible for severe cases of human Leptospirosis. The epidemiology of leptospirosis is complex and dynamic. Multiple serovars have been identified, each adapted to one or more animal hosts. Adaptation is a dynamic process that changes the spatial and temporal distribution of serovars and clinical manifestations in different hosts. Serotyping based on repertoire of surface antigens is an ambiguous and artificial system of classification of leptospiral agents. Molecular typing methods for the identification of pathogenic leptospires up to individual genome species level have been highly sought after since the decipherment of whole genome sequences. Only a few resources exist for microbial genotypic data based on individual techniques such as Multiple Locus Sequence Typing (MLST), but unfortunately no such databases are existent for leptospires. RESULTS: We for the first time report development of a robust MLST method for genotyping of Leptospira. Genotyping based on DNA sequence identity of 4 housekeeping genes and 2 candidate genes was analyzed in a set of 120 strains including 41 reference strains representing different geographical areas and from different sources. Of the six selected genes, adk, icdA and secY were significantly more variable whereas the LipL32 and LipL41 coding genes and the rrs2 gene were moderately variable. The phylogenetic tree clustered the isolates according to the genome-based species. CONCLUSION: The main advantages of MLST over other typing methods for leptospires include reproducibility, robustness, consistency and portability. The genetic relatedness of the leptospires can be better studied by the MLST approach and can be used for molecular epidemiological and evolutionary studies and population genetics.

Animals↗

PubMed2005

Changes in soil microbial community composition induced by cometabolism of toluene and trichloroethylene.

The effects of trichloroethylene (TCE) on microbial community composition were analyzed by reverse sample genome probing. Soil enrichments were incubated in dessicators containing an organic phase of either 1 or 10% (w/w) toluene in vacuum pump oil, delivering constant equilibrium aqueous concentrations of 16 and 143 mg/l, respectively. Increasing the equilibrium aqueous concentration of TCE from 0 to 10 mg/l led to shifts in community composition at 16, but not at 143 mg/l of toluene. In closed system co-degradation studies, TCE at an aqueous concentration of 1 mg/l was effectively degraded by toluene-degrading soil enrichments once the aqueous toluene concentration dropped below 25 mg/l. Little TCE degradation was observed at higher toluene concentrations (50-250 mg/l). The results indicate that TCE changes microbial community composition under conditions where it is being actively metabolized.

Biodegradation, Environmental↗

PubMed2001

The Structure of Microbial Communities in Soil and the Lasting Impact of Cultivation.

The structure of microbial communities was examined as a function of community composition and the relative abundance of specific microbial groups to examine the effects that plant community composition and land-use history have on microbial communities in the soil. The sites sampled were part of the Long Term Ecological Research (LTER) project in agricultural ecology at the W.K. Kellogg Biological Station of Michigan State University (Hickory Corners, MI) and included both active and abandoned agricultural fields as well as nearby fields that had never been cultivated. Microbial community structure was assessed by extracting total RNA from soil samples and using 16S rRNA-targeted oligonucleotide probes to quantify the abundance of rRNA from the alpha, beta, and gamma Proteobacteria, the Actinobacteria (Gram positive bacteria with a high mol % G+C genome), the Bacteria, and the Eukarya. In addition, soil microbial communities were characterized by examining fluorescently tagged terminal restriction fragment length polymorphisms (T-RFLP) in PCR amplified 16S rDNA. Microbial community structure was observed to be remarkably similar among plots that shared a long-term history of agricultural management despite differences in plant community composition and land management that have been maintained on the plots in recent years. In contrast, microbial community structure differed significantly between fields that had never been cultivated and those having a long-term history of cultivation.

Journal Article↗

PubMed1987

Genetic nomenclature and gene list of the fission yeast Schizosaccharomyces pombe.

The nomenclature rules for the genetics of the fission yeast Schizosaccharomyces pombe have been fixed for the first time, after discussion among scientists working with this organism. Conventions are proposed for the naming of genes and alleles that are obtained by classical means or by reverse genetics. In addition a list has been compiled of 460 known genes of S. pombe. It includes genes defined both by classical mutation analysis and by molecular cloning. 270 genes have been assigned either to one of the three nuclear chromosomes or the mitochondrial genome.

Drug Resistance, Microbial↗

PubMed2002

Population genomics of drug resistance in Candida albicans.

We followed adaptation in experimental microbial populations to inhibitory concentrations of an antimicrobial drug. The evolution of drug resistance was accompanied in all cases by changes in gene expression that persisted in the absence of the drug; the new patterns of gene expression were constitutive. The changes in gene expression occurred in four replicate populations of the pathogenic fungus Candida albicans during 330 generations of evolution in the presence of the antifungal drug fluconazole. Genome-wide expression profiling of over 5,000 ORFs identified 301 whose expression was significantly modulated. Cluster analysis identified three distinct patterns of gene expression underlying adaptation to the drug. One pattern was unique to one population and included up-regulation of the multidrug ATP-binding cassette transporter gene, CDR2. A second pattern occurred at a late stage of adaptation in three populations; for two of these populations profiled earlier in their evolution, a different pattern was observed at an early stage of adaptation. The succession of early- and late-stage patterns of gene expression, both of which include up-regulation of the multidrug major facilitator transporter gene, MDR1, must represent a common program of adaptation to this antifungal drug. The three patterns of gene expression were also identified in fluconazole-resistant clinical isolates, providing further evidence that these patterns represent common programs of adaptation to fluconazole.

ATP-Binding Cassette Transporters↗

PubMed2001

Individual contributions of mutant protease and reverse transcriptase to viral infectivity, replication, and protein maturation of antiretroviral drug-resistant human immunodeficiency virus type 1.

Human immunodeficiency virus type 1 (HIV-1) variants resistant to protease (PR) and reverse transcriptase (RT) inhibitors may display impaired infectivity and replication capacity. The individual contributions of mutated HIV-1 PR and RT to infectivity, replication, RT activity, and protein maturation (herein referred to as "fitness") in recombinant viruses were investigated by separately cloning PR, RT, and PR-RT cassettes from drug-resistant mutant viral isolates into the wild-type NL4-3 background. Both mutant PR and RT contributed to measurable deficits in fitness of viral constructs. In peripheral blood mononuclear cells, replication rates (means +/- standard deviations) of RT recombinants were 72.5% +/- 27.3% and replication rates of PR recombinants were 60.5% +/- 33.6% of the rates of NL4-3. PR mutant deficits were enhanced in CEM T cells, with relative replication rates of PR recombinants decreasing to 15.8% +/- 23.5% of NL4-3 replication rates. Cloning of the cognate RT improved fitness of some PR mutant clones. For a multidrug-resistant virus transmitted through sexual contact, RT constructs displayed a marked infectivity and replication deficit and diminished packaging of Pol proteins (RT content in virions diminished by 56.3% +/- 10.7%, and integrase content diminished by 23.3% +/- 18.4%), a novel mechanism for a decreased-fitness phenotype. Despite the identified impairment of recombinant clones, fitness of two of the three drug-resistant isolates was comparable to that of wild-type, susceptible viruses, suggestive of extensive compensation by genomic regions away from PR and RT. Only limited reversion of mutated positions to wild-type amino acids was observed for the native isolates over 100 viral replication cycles in the absence of drug selective pressure. These data underscore the complex relationship between PR and RT adaptive changes and viral evolution in antiretroviral drug-resistant HIV-1.

Animals↗