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PubMed2003

Transposon-based strategies for microbial functional genomics and proteomics.

Transposons are mobile genetic elements that can relocate from one genomic location to another. As well as modulating gene expression and contributing to genome plasticity and evolution, transposons are remarkably diverse molecular tools for both whole-genome and single-gene studies in bacteria, yeast, and other microorganisms. Efficient but simple in vitro transposition reactions now allow the mutational analysis of previously recalcitrant microorganisms. Transposon-based signature-tagged mutagenesis and genetic footprinting strategies have pinpointed essential genes and genes that are crucial for the infectivity of a variety of human and other pathogens. Individual proteins and protein complexes can be dissected by transposon-mediated scanning linker mutagenesis. These and other transposon-based approaches have reaffirmed the usefulness of these elements as simple yet highly effective mutagens for both functional genomic and proteomic studies of microorganisms.

Artificial Gene Fusion↗
PubMed2003

Evolutionary connections between bacterial and eukaryotic signaling systems: a genomic perspective.

Recent advances in microbial genomics suggest that several protein domains are common to bacterial and eukaryotic regulatory proteins. In particular, developmentally and morphologically complex prokaryotes appear to share several signaling modules with eukaryotes. New experimental studies and information from domain architectures point to several similar mechanistic themes in bacterial and eukaryotic signaling proteins. Laterally transferred protein domains, originally of bacterial provenance, appear to have contributed to the evolution of sensory pathways related to light, redox and nitric oxide signaling, and developmental pathways, such as Notch, cytokine and cytokinin signaling in eukaryotes.

Bacterial Physiological Phenomena↗
PubMed2006

Excisable cassettes: new tools for functional analysis of Streptomyces genomes.

The functional analysis of microbial genomes often requires gene inactivation. We constructed a set of cassettes consisting of single antibiotic resistance genes flanked by the attL and attR sites resulting from site-specific integration of the Streptomyces pSAM2 element. These cassettes can easily be used to inactivate genes by in-frame deletion in Streptomyces by a three-step strategy. In the first step, in Escherichia coli, the cassette is inserted into a cloned copy of the gene to be inactivated. In the second step, the gene is replaced by homologous recombination in Streptomyces, allowing substitution of the wild-type target gene with its inactivated counterpart. In the third step, the cassette can be removed by expression of the pSAM2 genes xis and int. The resulting strains are marker-free and contain an "attB-like" sequence of 33, 34, or 35 bp with no stop codon if the cassette is correctly chosen. Thus, a gene can be disrupted by creating an in-frame deletion, avoiding polar effects if downstream genes are cotranscribed with the target gene. A set of cassettes was constructed to contain a hygromycin or gentamicin resistance gene flanked by the attL and attR sites. The initial constructions carrying convenient cloning sites allow the insertion of any other marker gene. We tested insertion and excision by inserting a cassette into orf3, the third gene of an operon involved in spiramycin biosynthesis. We verified that the cassette exerted a polar effect on the transcription of downstream genes but that, after excision, complementation with orf3 alone restored spiramycin production.

Attachment Sites, Microbiological↗
PubMed1998

Sequencing multimegabase-template DNA with BigDye terminator chemistry.

Using the recently introduced BigDye terminators, large-template DNA can be directly sequenced with custom primers on automated instruments. Cycle sequencing conditions are presented to sequence DNA samples isolated from a number of microbial genomes including 750-kb Ureaplasma urealyticum, 1.2-Mb Mycoplasma fermentans, 2.3-Mb Streptococcus pneumoniae, and 4.6-Mb Escherichia coli. Average read lengths of >700 bp from unique primer annealing sites are often sufficient to fill final gaps in microbial genome sequencing projects without additional manipulations of template DNA. The technique can also be applied to sequence-targeted regions, thereby bypassing tedious subcloning steps.

Base Sequence↗
PubMed2005

MICheck: a web tool for fast checking of syntactic annotations of bacterial genomes.

The annotation of newly sequenced bacterial genomes begins with running several automatic analysis methods, with major emphasis on the identification of protein-coding genes. DNA sequences are heterogeneous in local nucleotide composition and this leads sometimes to sequences being annotated as authentic genes when they are not protein-coding genes or are true but uncharacterized protein-coding genes. This first annotation step is generally followed by an expert manual annotation of the predicted genes. The genomic data (sequence and annotations) organized in an appropriate databank file format is subsequently submitted to an entry point of the International Nucleotide Sequence Database. These procedures are inevitably subject to mistakes, and this can lead to unintentional syntactic annotation errors being stored in public databanks. Here, we present a new web program, MICheck (MIcrobial genome Checker), that enables rapid verification of sets of annotated genes and frameshifts in previously published bacterial genomes. The web interface allows one easily to investigate the MICheck results, i.e. inaccurate or missed gene annotations: a graphical representation is drawn, in which the genomic context of a unique coding DNA sequence annotation or a predicted frameshift is given, using information on the coding potential (curves) and annotation of the neighbouring genes. We illustrate some capabilities of the MICheck site through the analysis of 20 bacterial genomes, 9 of which were selected for their 'Reviewed' status in the National Center for Biotechnology Information (NCBI) Reference Sequence Project (RefSeq). In the context of the numerous re-annotation projects for microbial genomes, this tool can be seen as a preliminary step before the functional re-annotation step to check quickly for missing or wrongly annotated genes. The MICheck website is accessible at the following address: http://www.genoscope.cns.fr/agc/tools/micheck.

Computer Graphics↗
PubMed2003

Using motif-based methods in multiple genome analyses: a case study comparing orthologous mesophilic and thermophilic proteins.

Protein motifs represent highly conserved regions within protein families and are generally accepted to describe critical regions required for protein stability and/or function. In this comprehensive analysis, we present a robust, unique approach to identify and compare corresponding mesophilic and thermophilic sequence motifs between all orthologous proteins within 44 microbial genomes. Motif similarity is determined through global sequence alignment of mesophilic and thermophilic motif pairs, which are identified by a greedy algorithm. Our results reveal only modest correlation between motif and overall sequence similarity, highlighting the rationale of motif-based approaches in comprehensive multigenome comparisons. Conserved mutations reflect previously suggested physiochemical principles for conferring thermostability. Additionally, comparisons between corresponding mesophilic and thermophilic motif pairs provide key biochemical insights related to thermostability and can be used to test the evolutionary robustness of individual structural comparisons. We demonstrate the ability of our unique approach to provide key insights in two examples: the TATA-box binding protein and glutamate dehydrogenase families. In the latter example, conserved mutations hint at novel origins leading to structural stability differences within the hexamer structures. Additionally, we present amino acid composition data and average protein length comparisons for all 44 microbial genomes.

Amino Acid Motifs↗
PubMed2004

Detection of evolutionarily stable fragments of cellular pathways by hierarchical clustering of phyletic patterns.

BACKGROUND: Phyletic patterns denote the presence and absence of orthologous genes in completely sequenced genomes and are used to infer functional links between genes, on the assumption that genes involved in the same pathway or functional system are co-inherited by the same set of genomes. However, this basic premise has not been quantitatively tested, and the limits of applicability of the phyletic-pattern method remain unknown. RESULTS: We characterized a hierarchy of 3,688 phyletic patterns encompassing more than 5,000 known protein-coding genes from 66 complete microbial genomes, using different distances, clustering algorithms, and measures of cluster quality. The most sensitive set of parameters recovered 223 clusters, each consisting of genes that belong to the same metabolic pathway or functional system. Fifty-six clusters included unexpected genes with plausible functional links to the rest of the cluster. Only a small percentage of known pathways and multiprotein complexes are co-inherited as one cluster; most are split into many clusters, indicating that gene loss and displacement has occurred in the evolution of most pathways. CONCLUSIONS: Phyletic patterns of functionally linked genes are perturbed by differential gains, losses and displacements of orthologous genes in different species, reflecting the high plasticity of microbial genomes. Groups of genes that are co-inherited can, however, be recovered by hierarchical clustering, and may represent elementary functional modules of cellular metabolism. The phyletic patterns approach alone can confidently predict the functional linkages for about 24% of the entire data set.

Cluster Analysis↗
PubMed2004

Use of genome-scale microbial models for metabolic engineering.

Metabolic engineering serves as an integrated approach to design new cell factories by providing rational design procedures and valuable mathematical and experimental tools. Mathematical models have an important role for phenotypic analysis, but can also be used for the design of optimal metabolic network structures. The major challenge for metabolic engineering in the post-genomic era is to broaden its design methodologies to incorporate genome-scale biological data. Genome-scale stoichiometric models of microorganisms represent a first step in this direction.

Algorithms↗
PubMed2005

Accurate prediction of orthologous gene groups in microbes.

We present a new computational method for the prediction of orthologous gene groups for microbial genomes based on the prediction of co-occurrences of homologous genes. The method is inspired by the observation that homologous genes are highly likely to be orthologous if their neighboring genes are also homologous. Based on co-occurrences of homologous genes, we have grouped the (predicted) operons of 77 selected sequenced microbial genomes so that operons of the same group are highly likely to be functionally similar or related. We then cluster the homologous genes in the same operon group so that genes of the same cluster are highly likely to be similar in terms of their sequences and functions, i.e., they are predicted to be orthologous genes. By comparing our predicted orthologous gene groups with the COG assignments and NCBI annotations, we conclude that our method is promising to provide more accurate and specific predictions than the existing methods.

Algorithms↗
PubMed1998

Sequencing the genome of Plasmodium falciparum.

Advances in microbial genomic sequencing have the potential to revolutionize the control of infectious diseases. Recently, a consortium of researchers and funding agencies from the United States and Great Britain have embarked on a project to sequence the genome from Plasmodium falciparum, the most important cause of human malaria. The Malaria Genome Sequencing Project has reached an important milestone with the completion of the entire DNA sequence and annotation of chromosome 2, a 950 kilobase chromosome of Plasmodium falciparum. This review article will provide an overview of the malaria genome sequencing project, highlight progress in the field of microbial sequencing, and suggest new directions for future malaria research.

Journal Article↗
PubMed2003

Identification of a unique IAHP (IcmF associated homologous proteins) cluster in Vibrio cholerae and other proteobacteria through in silico analysis.

Previously using global transcription profile approach, the icmF gene of V. cholerae was identified as an in vivo induced gene involved in the regulation of motility, adherence to intestinal epithelial cells. The present report shows that icmF has 27 homologues in the finished and unfinished microbial genome sequences available in the database and among them only Legionella pneumophila IcmF has been partially characterized. We first identified a gene cluster containing 15 genes surrounding IcmF and designated as IcmF associated homologous protein (IAHP), present in nine gram-negative proteo-bacteria that need an intimate contact with the eukaryotic host cells. Only in P. aeruginosa the cluster is present in three different regions of the genome. In Y. pestis CO92 the cluster is in the same orientation as that of V. cholerae. But in E. coli O157:H7 VT2 Sakai, E. coli O157:H7 EDL933 and Y. pestis KIM, the cluster is in the opposite orientation to that of V. cholerae though the relative position of respective ORFs are the same. In other proteobacteria like M. loti, A. tumefaciens, P. aeruginosa and S. typhimurum, the genes are reshuffled indicating the frequent rearrangement in microbial genomes. Annotation, motif and domain prediction suggested a role of the proteins of IAHP cluster in cell surface architecture or secretion. Phylogenetic analysis of each protein belonging to the cluster present in all the nine organisms showed that only E. coli O157:H7 VT2 Sakai, E. coli O157:H7 EDL933, Y. pestis KIM and Y. pestis CO92 are closer to the V. cholerae and this pattern was similar for all proteins in the cluster. Presence of low G + C regions before and after the gene cluster in V. cholerae and both of the E. coli O157: H7 strains provide possibility of transfer of the gene cluster from a foreign source. From our finding it can be speculated that both of the E. coli O157:H7 strains and V. cholerae has a common ancestor, but the other organism where the cluster is reshuffled has undergone a long term of evolution.

Amino Acid Sequence↗
PubMed2026

Toxoplasma gondii infection disrupts secondary bile acid transformation in feline gut microbiota.

UNLABELLED: Bile acid (BA) transformation relies on gut microbiota and is vulnerable to Toxoplasma gondii infection, yet feline microbial BA-transforming capacity upon toxoplasmosis remains unclear. Here, we constructed a catalog of 2,474 nonredundant feline gut microbial genomes and integrated serum metabolomic data to verify BA transformation alterations. The results revealed that the feline gut microbiome harbored widespread genetic potential for BA transformation but lacked a complete 7α-dehydroxylation pathway due to the absence of the key gene baiE. The BA transformation-related genomes (2,045 in total) were predominantly from the phyla Bacillota_A and Actinomycetota, among which only 37 encoded baiB, all belonging to Bacillota_A. The distribution of BA transformation-related genes varied across intestinal regions: genes encoding 7α-HSDH were primarily enriched in the small intestine, whereas genes encoding 3α-HSDH, baiCD, and baiH were more abundant in the large intestine. Additionally, the abundance of genes encoding BSH and 3α-HSDH increased significantly in the small intestine on day 3 post-infection, accompanied by increases in the phylum Bacillota_C and genera such as Blautia_A, Enterococcus_E, and Ligilactobacillus. Serum metabolomics revealed a significant increase in cholesterol levels post-infection, supporting the impact of T. gondii infection on intestinal BA transformation. These findings illustrated that the feline gut microbiota played an important role in BA transformation and that T. gondii infection disrupted the microbial potential for secondary BA transformation. This study provided new insights into gut microbiota-associated metabolic perturbations during feline toxoplasmosis. IMPORTANCE: Bile acid (BA) transformation plays a critical role in host metabolism and immune regulation. Although studies on BA transformation are increasing, the capacity for BA transformation within the feline gut microbiota and the impact of Toxoplasma gondii infection on this capacity remain unclear. To bridge this gap, we constructed a catalog of 2,474 nonredundant feline gut microbial genomes and integrated serum metabolomic data to verify BA transformation alterations. Our findings revealed that the feline gut microbiome lacked a complete 7α-dehydroxylation pathway, and the specific functions involved in BA transformation may differ between the small and large intestines. Furthermore, integrated metagenomic and serum metabolomic analyses suggested that T. gondii infection disrupted BA transformation capacity in the small intestine. This study provided new insights into gut microbiota-associated metabolic perturbations during feline toxoplasmosis.

Toxoplasma gondii↗
PubMed2002

Microbial minimalism: genome reduction in bacterial pathogens.

When bacterial lineages make the transition from free-living or facultatively parasitic life cycles to permanent associations with hosts, they undergo a major loss of genes and DNA. Complete genome sequences are providing an understanding of how extreme genome reduction affects evolutionary directions and metabolic capabilities of obligate pathogens and symbionts.

Bacteria↗
PubMed2003

A phylogenetic analysis of the pSymB replicon from the Sinorhizobium meliloti genome reveals a complex evolutionary history.

Microbial genomes are thought to be mosaic, making it difficult to decipher how these genomes have evolved. Whole-genome nearest-neighbor analysis was applied to the Sinorhizobium meliloti pSymB replicon to determine its origin, the degree of horizontal transfer, and the conservation of gene order. Prediction of the nearest neighbor based on contextual information, i.e., the nearest phylogenetic neighbor of adjacent genes, provided useful information for genes for which phylogenetic relationships could not be established. A large portion of pSymB genes are most closely related to genes in the Agrobacterium tumefaciens linear chromosome, including the rep and min genes. This suggests a common origin for these replicons. Genes with the nearest neighbor from the same species tend to be grouped in "patches". Gene order within these patches is conserved, but the content of the patches is not limited to operons. These data show that 13% of pSymB genes have nearest neighbors in species that are not members of the Rhizobiaceae family (including two archaea), and that these likely represent genes that have been involved in horizontal transfer.

Agrobacterium tumefaciens↗
PubMed2002

Bacterial bioinformatics: pathogenesis and the genome.

As the number of completed microbial genome sequences continues to grow, there is a pressing need for the exploitation of this wealth of data through a synergistic interaction between the well-established science of bacteriology and the emergent discipline of bioinformatics. Antibiotic resistance and pathogenicity in virulent bacteria has become an increasing problem, with even the strongest drugs useless against some species, such as multi-drug resistant Enterococcus faecium and Mycobacterium tuberculosis. The global spread of Human Immunodeficiency Virus (HIV) and Acquired Immune Deficiency Syndrome (AIDS) has contributed to the re-emergence of tuberculosis and the threat from new and emergent diseases. To address these problems, bacterial pathogenicity requires redefinition as Koch's postulates become obsolete. This review discusses how the use of bacterial genomic information, and the in silico tools available at present, may aid in determining the definition of a current pathogen. The combination of both fields should provide a rapid and efficient way of assisting in the future development of antimicrobial therapies.

Acquired Immunodeficiency Syndrome↗