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At least 19 recordsLinked to original sources
PubMed1998

The diverse and dynamic structure of bacterial genomes.

Bacterial genome sizes, which range from 500 to 10,000 kbp, are within the current scope of operation of large-scale nucleotide sequence determination facilities. To date, 8 complete bacterial genomes have been sequenced, and at least 40 more will be completed in the near future. Such projects give wonderfully detailed information concerning the structure of the organism's genes and the overall organization of the sequenced genomes. It will be very important to put this incredible wealth of detail into a larger biological picture: How does this information apply to the genomes of related genera, related species, or even other individuals from the same species? Recent advances in pulsed-field gel electrophoretic technology have facilitated the construction of complete and accurate physical maps of bacterial chromosomes, and the many maps constructed in the past decade have revealed unexpected and substantial differences in genome size and organization even among closely related bacteria. This review focuses on this recently appreciated plasticity in structure of bacterial genomes, and diversity in genome size, replicon geometry, and chromosome number are discussed at inter- and intraspecies levels.

Bacteria↗
PubMed2006

Noise-reduction filtering for accurate detection of replication termini in bacterial genomes.

Bacterial chromosomes are highly polarized in their nucleotide composition through mutational selection related to replication. Using compositional skews such as the GC skew, replication origin and terminus can be predicted in silico by observing the shift points. However, the genome sequence is affected by myriad functional requirements and selection on numerous subgenomic features, and elimination of this "noise" should lead to better predictions. Here, we present a noise-reduction approach that uses low-pass filtering through Fast Fourier transform coupled with cumulative skew graphs. It increases the prediction accuracy of the replication termini compared with previously documented methods based on genomic base composition.

Bacteria↗
PubMed2005

Virulence Searcher: a tool for searching raw genome sequences from bacterial genomes for putative virulence factors.

There is often a delay between completion of a genome sequence and its publication, mainly because of the lengthy process of annotation. For most researchers, the raw sequence alone does not easily yield the rich information it contains. An online tool (Virulence Searcher) has been designed that enables scientists interested in bacterial pathogenesis to search sequences from unannotated bacterial genomes for putative genes encoding virulence factors. This will facilitate an immediate start on important research into bacterial disease without having to wait for the annotated sequence to be published.

Genes, Bacterial↗
PubMed2003

Rearrangements between differently replicating DNA strands in asymmetric bacterial genomes.

Many bacterial genomes are under asymmetric mutational pressure which introduces compositional asymmetry into DNA molecule resulting in many biases in coding structure of chromosomes. One of the processes affected by the asymmetry is translocation changing the position of the coding sequence on chromosome in respect to the orientation on the leading and lagging DNA strand. When analysing sets of paralogs in 50 genomes, we found that the number of observed genes which switched their positions on DNA strand is lowest for genomes with the highest DNA asymmetry. However, the number of orthologs which changed DNA strand increases with the phylogenetic distance between the compared genomes. Nevertheless, there is a fraction of coding sequences that stay on the leading strand in all analysed genomes, whereas there are no sequences that stay always on the lagging strand. Since sequences diverge very fast after switching the DNA strand, this bias in mobility of sequences is responsible, in part, for higher divergence rates among some of coding sequences located on the lagging DNA strand.

Chromosomes, Bacterial↗
PubMed1995

How to alter the bacterial genome structure.

Bacterial chromosomes, mostly of circular form, have an unique primary structure that are stably maintained. We initiated a systematic study to induce changes of the structure of the Bacillus subtilis chromosome. There are two main goals: (i) to obtain general concepts for possible plasticity of the bacterial genome and (ii) to apply the proposed genome technology to bacteria.

Bacillus subtilis↗
PubMed2001

Where are the pseudogenes in bacterial genomes?

Most bacterial genomes have very few pseudogenes; notable exceptions include the genomes of the intracellular parasites Rickettsia prowazekii and Mycobacterium leprae. As DNA can be introduced into microbial genomes in many ways, the compact nature of these genomes suggests that the rate of DNA influx is balanced by the rate of DNA deletion. We propose that the influx of dangerous genetic elements such as transposons and bacteriophages selects for the maintenance of relatively high deletion rates in most bacteria; the sheltered lifestyle of intracellular parasites removes this threat, leading to reduced deletion rates and larger pseudogene loads.

Bacteriophages↗
PubMed2005

A simple and economic preservation method for genomic bacterial DNA from clinically significant pathogens.

Bacterial culture was allowed to dry to completeness on Columbia agar base with defibrinated horse blood. Following 6 months storage at room temperature, microbial DNA was extracted and successfully amplified by PCR. This storage technique has the advantage over other methods of not requiring (i) a DNA extraction protocol prior to storage and (ii) refrigeration and/or freezing. This technique maybe useful in the transportation of bacterial genomic DNA in nonviable cells as well as reliable method for the storage of DNA in underdeveloped countries.

Base Sequence↗
PubMed2000

Intraspecies variation in bacterial genomes: the need for a species genome concept.

Bacterial populations are clonal. Their evolution involves not only divergence between orthologous genes but also gain of genes from other clones or species, which has only recently been widely appreciated through macrorestriction mapping, genomic subtraction and complete genome sequencing. Genes can also be lost in response to selection or by random mutation after becoming redundant. The bacterial genome is a dynamic structure and intraspecies variation needs to be included in genome analysis if we are to gain insight into the full species genome.

Bacteria↗
PubMed2003

[Genome-wide non-sequencing strategies for bacterial genome comparison: the necessity and an analysis of the variable bacterial world].

A tremendous success in bacterial genome sequencing has been achieved during the recent years; it resulted in making available, for analysis, multiple sequences of different bacterial genomes, including such pathogens as causative agents of syphilis, typhus, and tuberculosis as well as such organisms like archaebacterias living under extreme conditions. A comparative analysis of bacterial genomes leads to conclusions, which have a general biological value, and, in particular, to the conclusions about mechanisms and evolution rate as well as about the variability of genomes and interrelation between organisms and their habitat. On the other hand, the analysis reveals specific features of separate bacterial species responsible for their pathogenicity and ability to avoid the destruction of the host immune system as well as for adaptation to exist within a certain ecological niche. However, the variability of bacterial genomes is so high that methods, which enable to evaluate the variability without full genome sequencing, are needed to depict adequately the evolution and ecological characteristics of the prokaryotic world and to develop new effective therapeutics and diagnostic tools. The survey covers two approaches to such comparative analysis, i.e. DNA arrays and subtractive hybridization. The advantages and disadvantages of each approach are discussed and the necessity in a new approach combining the positive features of the two mentioned approaches is substantiated.

DNA, Bacterial↗
PubMed2005

BASys: a web server for automated bacterial genome annotation.

BASys (Bacterial Annotation System) is a web server that supports automated, in-depth annotation of bacterial genomic (chromosomal and plasmid) sequences. It accepts raw DNA sequence data and an optional list of gene identification information and provides extensive textual annotation and hyperlinked image output. BASys uses >30 programs to determine approximately 60 annotation subfields for each gene, including gene/protein name, GO function, COG function, possible paralogues and orthologues, molecular weight, isoelectric point, operon structure, subcellular localization, signal peptides, transmembrane regions, secondary structure, 3D structure, reactions and pathways. The depth and detail of a BASys annotation matches or exceeds that found in a standard SwissProt entry. BASys also generates colorful, clickable and fully zoomable maps of each query chromosome to permit rapid navigation and detailed visual analysis of all resulting gene annotations. The textual annotations and images that are provided by BASys can be generated in approximately 24 h for an average bacterial chromosome (5 Mb). BASys annotations may be viewed and downloaded anonymously or through a password protected access system. The BASys server and databases can also be downloaded and run locally. BASys is accessible at http://wishart.biology.ualberta.ca/basys.

Chromosomes, Bacterial↗
PubMed1987

Restriction endonucleases for pulsed field mapping of bacterial genomes.

Fundamental to many bacterial genome mapping strategies currently under development is the need to cleave the genome into a few large DNA fragments that can be resolved by pulsed field gel electrophoresis. Identification of endonucleases that infrequently cut a genome is of key importance in this process. We show that the tetranucleotide CTAG is extremely rare in most bacterial genomes with G+C contents above 45%. As a consequence, most of the sixteen bacterial genomes we have tested are cleaved less than once every 100,000 base pairs by one or more endonucleases that have CTAG in their recognition sequences: Xba I (TCTAGA), Spe I (ACTAGT), Avr II (CCTAGG) and Nhe I (GCTAGC). Similarly, CCG and CGG are the rarest trinucleotides in many genomes with G+C content of less than 45%. Thus, Sma I (CCCGGG), Rsr II (CGGWCCG), Nae I (GCCGGC) and Sac II (CCGCGG) are often suitable endonucleases for producing fragments that average over 100,000 base pairs from such genomes. Pulsed field gel electrophoresis of the fragments that result from cleavage with endonucleases that cleave only a few times per genome should assist in the physical mapping of many prokaryotic genomes.

Base Composition↗
PubMed2005

Differentiation of regions with atypical oligonucleotide composition in bacterial genomes.

BACKGROUND: Complete sequencing of bacterial genomes has become a common technique of present day microbiology. Thereafter, data mining in the complete sequence is an essential step. New in silico methods are needed that rapidly identify the major features of genome organization and facilitate the prediction of the functional class of ORFs. We tested the usefulness of local oligonucleotide usage (OU) patterns to recognize and differentiate types of atypical oligonucleotide composition in DNA sequences of bacterial genomes. RESULTS: A total of 163 bacterial genomes of eubacteria and archaea published in the NCBI database were analyzed. Local OU patterns exhibit substantial intrachromosomal variation in bacteria. Loci with alternative OU patterns were parts of horizontally acquired gene islands or ancient regions such as genes for ribosomal proteins and RNAs. OU statistical parameters, such as local pattern deviation (D), pattern skew (PS) and OU variance (OUV) enabled the detection and visualization of gene islands of different functional classes. CONCLUSION: A set of approaches has been designed for the statistical analysis of nucleotide sequences of bacterial genomes. These methods are useful for the visualization and differentiation of regions with atypical oligonucleotide composition prior to or accompanying gene annotation.

DNA, Bacterial↗
PubMed2003

[Use of suppressor subtraction hybridization for finding strain-specific sequences in bacterial genomes].

Comparisons of bacterial genomes demonstrate that even strains of one species may strikingly differ in gene set. Strain-specific genes are of considerable interest, as they may be responsible for distinguishing features, such as virulence or drug resistance, of the strain and may be employed as markers in epidemiological or evolutionary studies. Suppression subtractive hybridization (SSH) was shown to be suitable for generating a set of DNA fragments differing between two closely related bacterial strains. More than 95% DNA fragments selected by SSH proved to be specific for Staphylococcus aureus strains ZW compared with strain 29213.

Genome, Bacterial↗
PubMed2006

A new experimental approach for studying bacterial genomic island evolution identifies island genes with bacterial host-specific expression patterns.

BACKGROUND: Genomic islands are regions of bacterial genomes that have been acquired by horizontal transfer and often contain blocks of genes that function together for specific processes. Recently, it has become clear that the impact of genomic islands on the evolution of different bacterial species is significant and represents a major force in establishing bacterial genomic variation. However, the study of genomic island evolution has been mostly performed at the sequence level using computer software or hybridization analysis to compare different bacterial genomic sequences. We describe here a novel experimental approach to study the evolution of species-specific bacterial genomic islands that identifies island genes that have evolved in such a way that they are differentially-expressed depending on the bacterial host background into which they are transferred. RESULTS: We demonstrate this approach by using a "test" genomic island that we have cloned from the Salmonella typhimurium genome (island 4305) and transferred to a range of Gram negative bacterial hosts of differing evolutionary relationships to S. typhimurium. Systematic analysis of the expression of the island genes in the different hosts compared to proper controls allowed identification of genes with genera-specific expression patterns. The data from the analysis can be arranged in a matrix to give an expression "array" of the island genes in the different bacterial backgrounds. A conserved 19-bp DNA site was found upstream of at least two of the differentially-expressed island genes. To our knowledge, this is the first systematic analysis of horizontally-transferred genomic island gene expression in a broad range of Gram negative hosts. We also present evidence in this study that the IS200 element found in island 4305 in S. typhimurium strain LT2 was inserted after the island had already been acquired by the S. typhimurium lineage and that this element is likely not involved in the integration or excision of island 4305. CONCLUSION: The "clone-and-transfer" approach of evolutionary study identifies genes whose expression patterns indicate the existence of genera-specific regulatory mechanisms that influence the expression of horizontally-transferred DNA sections. The results provide key information that can be used to facilitate the identification of these regulatory mechanisms.

Bacteria↗
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↗
PubMed1993

Dynamics of the bacterial genome: deletions and integrations as mechanisms of bacterial virulence modulation.

Bacterial virulence is a multifactorial phenomenon, arising from the coordinate action of special abilities of the infectious agents, termed as virulence factors, which is crucial for the infectious process. The genetic determinants encoding those factors are termed virulence associated genes, which can be located on the bacterial chromosome or on extrachromosomal elements (plasmids). Various examples have repeatedly demonstrated that bacterial genome dynamics contributes to virulence modulation. Strikingly, a reduced in vivo virulence of the pathogens was shown to be due to the spontaneous loss of virulence associated genes. The deletion events can involve chromosomal as well as plasmid regions. Also integration of plasmids into the chromosome are considered as dynamic events. The new genetic location of the formerly plasmid encoded virulence associated genes can result in an alteration of virulence expression.

Bacteria↗