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PubMed2006

GECO--linear visualization for comparative genomics.

UNLABELLED: In order to understand and interpret phylogenetic and functional relationships between multiple prokaryotic species, qualitative and quantitative data must be correlated and displayed. GECO allows linear visualization of multiple genomes using a client/server based approach by dynamically creating .png- or .pdf-formatted images. It is able to display ortholog relations calculated using BLASTCLUST by color coding ortholog representations. Irregularities on the genomic level can be identified by anomalous G/C composition. Thus, this software will enable researchers to detect horizontally transferred genes, pseudogenes and insertions/deletions in related microbial genomes. AVAILABILITY: http://bioinfo.mikrobio.med.uni-giessen.de/geco2/GecoMainServlet

Algorithms↗

PubMed2000

Automatic detection of conserved gene clusters in multiple genomes by graph comparison and P-quasi grouping.

We previously reported two graph algorithms for analysis of genomic information: a graph comparison algorithm to detect locally similar regions called correlated clusters and an algorithm to find a graph feature called P-quasi complete linkage. Based on these algorithms we have developed an automatic procedure to detect conserved gene clusters and align orthologous gene orders in multiple genomes. In the first step, the graph comparison is applied to pairwise genome comparisons, where the genome is considered as a one-dimensionally connected graph with genes as its nodes, and correlated clusters of genes that share sequence similarities are identified. In the next step, the P-quasi complete linkage analysis is applied to grouping of related clusters and conserved gene clusters in multiple genomes are identified. In the last step, orthologous relations of genes are established among each conserved cluster. We analyzed 17 completely sequenced microbial genomes and obtained 2313 clusters when the completeness parameter P: was 40%. About one quarter contained at least two genes that appeared in the metabolic and regulatory pathways in the KEGG database. This collection of conserved gene clusters is used to refine and augment ortholog group tables in KEGG and also to define ortholog identifiers as an extension of EC numbers.

Algorithms↗

PubMed2002

Efficient insertion mutagenesis strategy for bacterial genomes involving electroporation of in vitro-assembled DNA transposition complexes of bacteriophage mu.

An efficient insertion mutagenesis strategy for bacterial genomes based on the phage Mu DNA transposition reaction was developed. Incubation of MuA transposase protein with artificial mini-Mu transposon DNA in the absence of divalent cations in vitro resulted in stable but inactive Mu DNA transposition complexes, or transpososomes. Following delivery into bacterial cells by electroporation, the complexes were activated for DNA transposition chemistry after encountering divalent metal ions within the cells. Mini-Mu transposons were integrated into bacterial chromosomes with efficiencies ranging from 10(4) to 10(6) CFU/microg of input transposon DNA in the four species tested, i.e., Escherichia coli, Salmonella enterica serovar Typhimurium, Erwinia carotovora, and Yersinia enterocolitica. Efficiency of integration was influenced mostly by the competence status of a given strain or batch of bacteria. An accurate 5-bp target site duplication flanking the transposon, a hallmark of Mu transposition, was generated upon mini-Mu integration into the genome, indicating that a genuine DNA transposition reaction was reproduced within the cells of the bacteria studied. This insertion mutagenesis strategy for microbial genomes may be applicable to a variety of organisms provided that a means to introduce DNA into their cells is available.

Bacteriophage mu↗

PubMed2006

Post-genomic vaccine development.

For over a century, vaccines were developed according to Pasteur's principles of isolating, inactivating and injecting the causative agent of an infectious disease. The availability of a complete microbial genome sequence in 1995 marked the beginning of a genomic era that has allowed scientists to change the paradigm and approach vaccine development starting from genomic information, a process named reverse vaccinology. This can be considered as one of the most powerful examples of how genomic information can be used to develop therapeutic interventions, which were difficult or impossible to tackle with conventional approaches. As the genomic era progressed, it became apparent that multi-strain genome analysis is fundamental to the design of universal vaccines. In the post-genomic era, the next challenge of the vaccine biologist will be the merging of the vaccinology with structural biology.

Genome↗

PubMed2004

Identification & characterisation of the two novel streptococcal pyrogenic exotoxins SPE-L & SPE-M.

BACKGROUND & OBJECTIVES: The streptococcal pyrogenic exotoxins (SPEs) are produced by Streptococcus pyogenes and belong to the family of bacterial superantigens, a group of highly mitogenic proteins. The aim of this study was to search unfinished streptococcal genomes for novel superantigens, to generate recombinant proteins from potential open reading frames (ORFs) and to analyse them for superantigen activity. METHODS: The microbial genome database was searched using a TBLASTN search programme. Genotyping of S. equi and S. pyogenes isolates was done using the specific primer pairs. The spe-l and spe-m genes were amplified by PCR. RESULTS: Two novel streptococcal superantigen genes (sepe-l and sepe-m) were identified from the Streptococcus equi genomic database at the Sanger Centre. Genotyping of S. pyogenes isolates resulted in the detection of the orthologous genes spe-l and spe-m in a restricted number of S. pyogenes isolates and revealed a link of spe-l to the M89 serotype. Recombinant SPE-L and rSPE-M were highly mitogenic for human peripheral blood lymphocytes with half maximum responses at 1 pg/ml and 10 pg/ml, respectively. The results from competitive binding experiments suggest that both proteins bind MHC class II at the beta-chain, but not at the alpha-chain. The most common target for both toxins were human Vbetal.1 expressing T cells. Seroconversion against SPE-L and SPE-M was observed in healthy blood donors. INTERPRETATION & CONCLUSION: The two novel ORFs identified in both, S. equi and S. pyogenes, code for proteins that show typical superantigen features. The seroconversion seen in some blood donors suggest that the proteins are indeed produced by the bacteria. Interestingly, the spe-l gene is highly associated with S. pyogenes M89, which is linked to acute rheumatic fever in New Zealand.

Bacterial Proteins↗

PubMed2002

Infectomics: genomics and proteomics of microbial infections.

The completion of genomic sequences is the greatest triumph of molecular reductionism since the discovery of the DNA double helix in 1953. However, the utility of reductionism is becoming limited and holistic approaches, including theories and techniques, are desperately needed in the postgenomic era. In the field of infectious diseases there is an urgent need for global approaches that can efficiently, precisely and integratively study structural and functional genomics and proteomics of microbial infections (infectomics). The combination of new (e.g. DNA and protein microarrays) and traditional approaches (e.g. cloning, PCR, gene knockout and knockin, and antisense) will help overcome the challenges we are facing today. We assume that the global phenotypic changes (infectomes) in microbes and their host during infections are encoded by the genomes of microbial pathogens and their hosts, expressed in certain environmental conditions devoted to specific microbe-host interactions. Global drug responses (pharmacomes) in microbes and their host can be detected by genomic and proteomic approaches. Genome-wide approaches to genotyping and phenotyping or expression profiling will eventually lead to global dissection of microbial pathogenesis, efficient and rapid diagnosis of infectious diseases, and the development of novel strategies to control infections. The key fundamental issue of infectious diseases is how to globally and integratively understand the interactions between microbial pathogens and their hosts by using infectomics. In this review, we focus on the events that are considered important in infectomics.

Animals↗

PubMed2002

Genomic functional annotation using co-evolution profiles of gene clusters.

BACKGROUND: The current speed of sequencing already exceeds the capability of annotation, creating a potential bottleneck. A large proportion of the genes in microbial genomes remains uncharacterized. Here we propose a new method for functional annotation using the conservation patterns of gene clusters. If several gene clusters show the same coevolution pattern across different genomes it is reasonable to infer they are functionally related. The gene cluster phylogenetic profile integrates chromosomal proximity information and phylogenetic profile information and allows us to infer functional dependences between the gene clusters even at great distance on the chromosome. RESULTS: As a proof of concept, we applied our method to the genome of Escherichia coli K12 strain. Our method establishes functional relationships among 176 gene clusters, comprising 738 E. coli genes. The accuracy of pair phylogenetic profiles was compared with the single-gene phylogenetic profile and was shown to be higher. As a result, we are able to suggest functional roles for several previously unknown genes or unknown genomic regions in E. coli. We also examined the robustness of coevolution signals across a larger set of genomes and suggest a possible upper limit of accuracy for the phylogenetic profile methods. CONCLUSIONS: The higher-order phylogenetic profiles, such as the gene-pair phylogenetic profiles, can detect functional dependences that are missed by using conventional single-gene phylogenetic profile or the chromosomal proximity method only. We show that the gene-pair phylogenetic profile is more accurate than the single-gene phylogenetic profiles.

Alleles↗

PubMed2005

Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae: implications for the microbial "pan-genome".

The development of efficient and inexpensive genome sequencing methods has revolutionized the study of human bacterial pathogens and improved vaccine design. Unfortunately, the sequence of a single genome does not reflect how genetic variability drives pathogenesis within a bacterial species and also limits genome-wide screens for vaccine candidates or for antimicrobial targets. We have generated the genomic sequence of six strains representing the five major disease-causing serotypes of Streptococcus agalactiae, the main cause of neonatal infection in humans. Analysis of these genomes and those available in databases showed that the S. agalactiae species can be described by a pan-genome consisting of a core genome shared by all isolates, accounting for approximately 80% of any single genome, plus a dispensable genome consisting of partially shared and strain-specific genes. Mathematical extrapolation of the data suggests that the gene reservoir available for inclusion in the S. agalactiae pan-genome is vast and that unique genes will continue to be identified even after sequencing hundreds of genomes.

Amino Acid Sequence↗

PubMed1989

Molecular analysis of nosocomial epidemics.

Newer developments in molecular biology offer the hospital epidemiologist and clinical microbiologist powerful tools for analysis of nosocomial epidemics. Plasmid fingerprinting and genomic REA are rapid and often more definitive alternatives to serotyping and biotyping. Isolation of specific plasmids for special study involves more complicated manipulations. Polypeptide patterns, though at times diffuse in appearance, can be easily produced with SDS-PAGE of whole cells or outer membranes. Specific monoclonal antibodies as probes for individual proteins can generate more definitive answers about the exact type of protein(s) present. Multilocus enzyme electrophoresis (MLE) has become an ingenious tool for characterizing closely related nosocomial bacterial strains. The newest molecular methods using ribotyping, DNA probes, and the PCR will open many doors into the microbial genomes that were previously closed to the hospital microbial detective. These advances will compel hospitals to plan for their funding and implementation. Yet, like other scientific progress, the new biology in the nosocomial setting will raise as many questions as it will answer.

Bacteria↗

PubMed1993

Quantitative reverse sample genome probing of microbial communities and its application to oil field production waters.

This paper presents a protocol for quantitative analysis of microbial communities by reverse sample genome probing is presented in which (i) whole community DNA is isolated and labeled in the presence of a known amount of an added internal standard and (ii) the resulting spiked reverse genome probe is hybridized with a master filter on which denatured genomic DNAs from bacterial standards isolated from the target environment were spotted in large amounts (up to 1,500 ng) in order to improve detection sensitivity. This protocol allowed reproducible fingerprinting of the microbial community in oil field production waters at 19 sites from which water and biofilm samples were collected. It appeared that selected sulfate-reducing bacteria were significantly enhanced in biofilms covering the metal surfaces in contact with the production waters.

Journal Article↗

PubMed2024

Genome mining for new enediyne antibiotics.

Enediyne antibiotics epitomize nature's chemical creativity. They contain intricate molecular architectures that are coupled with potent biological activities involving double-stranded DNA scission. The recent explosion in microbial genome sequences has revealed a large reservoir of novel enediynes. However, while hundreds of enediyne biosynthetic gene clusters (BGCs) can be detected, less than two dozen natural products have been characterized to date as many clusters remain silent or sparingly expressed under standard laboratory growth conditions. This review focuses on four distinct strategies, which have recently enabled discoveries of novel enediynes: phenotypic screening from rare sources, biosynthetic manipulation, genomic signature-based PCR screening, and DNA-cleavage assays coupled with activation of silent BGCs via high-throughput elicitor screening. With an abundance of enediyne BGCs and emerging approaches for accessing them, new enediyne natural products and further insights into their biogenesis are imminent.

Enediynes↗

PubMed2006

The evolutionary origin of Xanthomonadales genomes and the nature of the horizontal gene transfer process.

Determining the influence of horizontal gene transfer (HGT) on phylogenomic analyses and the retrieval of a tree of life is relevant for our understanding of microbial genome evolution. It is particularly difficult to differentiate between phylogenetic incongruence due to noise and that resulting from HGT. We have performed a large-scale, detailed evolutionary analysis of the different phylogenetic signals present in the genomes of Xanthomonadales, a group of Proteobacteria. We show that the presence of phylogenetic noise is not an obstacle to infer past and present HGTs during their evolution. The scenario derived from this analysis and other recently published reports reflect the confounding effects on bacterial phylogenomics of past and present HGT. Although transfers between closely related species are difficult to detect in genome-scale phylogenetic analyses, past transfers to the ancestor of extant groups appear as conflicting signals that occasionally might make impossible to determine the evolutionary origin of the whole genome.

Cluster Analysis↗

PubMed2026

Microbial diversity: the essential foundation for life on our planet.

The biological basis of life on Earth is microbial diversity that ensures human health, agricultural productivity, ecological balance, and ecosystem functioning. Microorganisms enable ecosystem restoration through bioremediation, maintain soil fertility, support plant growth, manage vital biogeochemical cycles, and contribute to climate resilience. Precision probiotics, postbiotics, faecal microbiota transplantation, and personalized microbiome medicine are the examples of emerging microbiome-based therapies that offer promising therapeutic opportunities. In humans, the gut microbial community is essential for immune regulation, metabolism, and disease prevention. In terrestrial ecological systems, interactions between plants, fungi, bacteria, and other soil microorganisms improve carbon sequestration, nutrient cycling, stress resilience, and sustainable agricultural productivity in the given effects of climate change. Emerging uses in agriculture, environmental restoration, and medicine are made possible by advancements in multi-omic techniques, synthetic microbial genomes, microbiome engineering, and artificial intelligence. Considering these developments, issues with ecological complexity, long-term validation, standardization, and field scale application still exist. Therefore, preserving microbial diversity is important for conserving ecological resilience and strengthening the One Health framework, which highlights the mutual dependance of health of animal, human, plant, and environment. This review summarizes what has been discovered about ecological and biomedical relevance of microbiome, identifies important research gaps, highlighting emerging technologies, and evaluates potential future directions for using microbiome to support planetary sustainability.

Bioremediation↗

PubMed2026

An integrated global resource of wetland microbiomes linking environmental metadata, community profiles, and genome-resolved metabolic traits.

Wetlands are biogeochemical hotspots pivotal to global carbon and nutrient cycling, yet genome-resolved studies across diverse wetland types remain limited. To address this, we constructed a global wetland metagenomic dataset, integrating environmental metadata, community profiles, and genome-resolved metabolic traits. This dataset comprises 1,962 samples-including 129 newly sequenced field-collected samples-from lakes, rivers, paddies, marshes, and coastal wetlands, spanning water, soil, and sediment habitats. We generated comprehensive taxonomic profiles for all 1,962 samples, and used 251 samples to reconstruct 5,704 sample-specific metagenome-assembled genomes (MAGs). These MAGs were subsequently dereplicated to establish a normalized, non-redundant catalog of 4,164 representative genomes. We further mapped gene repertoires to 549 KEGG modules to decode the metabolic potential of all 5,704 MAGs. This dataset depicts an overview of microbial genomic diversity across global wetlands and provides a comprehensive resource for understanding the metabolic capabilities, ecology, and evolution of wetland microbiomes.

Wetlands↗

PubMed2004

The ORFanage: an ORFan database.

As each newly sequenced genome contains a significant number of protein-coding ORFs that are species-, family- or lineage-specific, many interesting questions arise about the evolution and role of these ORFs and of the genomes they are part of. We refer to these poorly conserved ORFs as singleton or paralogous ORFans if they are unique to one genome, or as orthologous ORFans if they appear only in a family of closely related organisms and have no homolog in other genomes. In order to study and classify ORFans we have constructed the ORFanage, an ORFan database. This database consists of the predicted ORFs in fully sequenced microbial genomes, and enables searching for the three types of ORFans in any subset of the genomes chosen by the user. The ORFanage could help in choosing interesting targets for further genomic and evolutionary studies. The ORFanage is accessible via http://www.bioinformatics.buffalo. edu/ORFanage.

Computational Biology↗

PubMed1997

Genomic rearrangements during evolution of the obligate intracellular parasite Rickettsia prowazekii as inferred from an analysis of 52015 bp nucleotide sequence.

In this study a description is given of the sequence and analysis of 52 kb from the 1.1 Mb genome of Rickettsia prowazekii, a member of the alpha-Proteobacteria. An investigation was made of nucleotide frequencies and amino acid composition patterns of 41 coding sequences, distributed in 10 genomic contigs, of which 32 were found to have putative homologues in the public databases. Overall, the coding content of the individual contigs ranged from 59 to 97%, with a mean of 81%. The genes putatively identified included genes involved in the biosynthesis of nucleotides, macromolecules and cell wall structures as well as citric acid cycle component genes. In addition, a putative identification was made of a member of the regulatory response family of two-component signal transduction systems as well as a gene encoding haemolysin. For one gene, the homologue of metK, an internal stop codon was discovered within a region that is otherwise highly conserved. Comparisons with the genomic structures of Escherichia coli, Haemophilus influenzae and Bacillus subtilis have revealed several atypical gene organization patterns in the R. prowazekii genome. For example, R. prowazekii was found to have a unique arrangement of genes upstream of dnaA in a region that is highly conserved among other microbial genomes and thought to represent the origin of replication of a primordial replicon. The results presented in this paper support the hypothesis that the R. prowazekii genome is a highly derived genome and provide examples of gene order structures that are unique for the Rickettsia.

Amino Acid Sequence↗

PubMed2004

Segmentally variable genes: a new perspective on adaptation.

Genomic sequence variation is the hallmark of life and is key to understanding diversity and adaptation among the numerous microorganisms on earth. Analysis of the sequenced microbial genomes suggests that genes are evolving at many different rates. We have attempted to derive a new classification of genes into three broad categories: lineage-specific genes that evolve rapidly and appear unique to individual species or strains; highly conserved genes that frequently perform housekeeping functions; and partially variable genes that contain highly variable regions, at least 70 amino acids long, interspersed among well-conserved regions. The latter we term segmentally variable genes (SVGs), and we suggest that they are especially interesting targets for biochemical studies. Among these genes are ones necessary to deal with the environment, including genes involved in host-pathogen interactions, defense mechanisms, and intracellular responses to internal and environmental changes. For the most part, the detailed function of these variable regions remains unknown. We propose that they are likely to perform important binding functions responsible for protein-protein, protein-nucleic acid, or protein-small molecule interactions. Discerning their function and identifying their binding partners may offer biologists new insights into the basic mechanisms of adaptation, context-dependent evolution, and the interaction between microbes and their environment.

Acclimatization↗

PubMed2006

Use of genomics to select antibacterial targets.

The problem of antibiotic resistance has eroded the usefulness of our arsenal of effective antibiotics. There is a need for new strategies to discover and develop new, effective drugs. The advent of the microbial genomics era has provided a wealth of information on a variety of microorganisms. This has allowed the identification and/or validation of a number of gene products that could serve as targets for the discovery of novel antibacterial agents. New genetic techniques and approaches have arisen in an attempt to exploit this newly available genomic data. Both random and targeted gene disruption efforts have proven effective in this process. Many of these methods would have been difficult to accomplish without DNA sequence and bioinformatics analyses. Several targets have been selected to further characterize and screen for inhibitors and one has yielded two clinical candidates.

Anti-Bacterial Agents↗