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Comparing bacterial genomes through conservation profiles.

We constructed two-dimensional representations of profiles of gene conservation across different genomes using the genome of Escherichia coli as a model. These profiles permit both the visualization at the genome level of different traits in the organism studied and, at the same time, reveal features related to the genomes analyzed (such as defective genomes or genomes that lack a particular system). Conserved genes are not uniformly distributed along the E. coli genome but tend to cluster together. The study of gene distribution patterns across genomes is important for the understanding of how sets of genes seem to be dependent on each other, probably having some functional link. This provides additional evidence that can be used for the elucidation of the function of unannotated genes. Clustering these patterns produces families of genes which can be arranged in a hierarchy of closeness. In this way, functions can be defined at different levels of generality depending on the level of the hierarchy that is studied. The combined study of conservation and phenotypic traits opens up the possibility of defining phenotype/genotype associations, and ultimately inferring the gene or genes responsible for a particular trait.

Chromosome Mapping↗

Phylogenetic positions and assignment of swine and ovine corynebacterial isolates based on the 16S rDNA sequence.

The nucleotide sequences of the 16S ribosomal RNA gene (rDNA) of swine and ovine corynebacterial strains were determined. The sequences of the strains that identified as Corynebacterium pseudotuberculosis by their biochemical characteristics were homologous with each other. The phylogenetic position of C. pseudotuberculosis strains was closet to C. ulcerans and next closet to C. diphtheriae. The nucleotide sequence of another swine isolate, SC8, was similar to that of a recently proposed species, C. seminale, and a non-validated species, "C. glucuronolyticum," with about 0.01 to 0.02 evolutionary distances. Analysis of the predicted secondary structure of the 16S rRNA molecule agreed with the close phylogenetic relationships between C. pseudotuberculosis and C. ulcerans and between C. seminale and strain SC8.

Animals↗

Evidence for a defective prophage on the chromosome of Methanobacterium wolfei.

Evidence shows the presence on the chromosome of Methanobacterium wolfei of a defective prophage which, by DNA-DNA hybridization, is closely related to the virulent archaeophage psi M1 of Methanobacterium thermoautotrophicum Marburg. Partial sequencing of a M. wolfei 16S rRNA gene and phylogenetic analysis indicated that this organism is more closely related to other representatives of the genus Methanobacterium than to M. thermoautotrophicum Marburg. The chromosomal region of M. wolfei encoding the putative prophage was found to be deleted for two non-contiguous segments of the phage psi M1 genome and thus encompassed only 80 to 90% of the psi M1 DNA. The prophage region was mapped to a 30 kb restriction fragment on the physical map of the M. wolfei chromosome. A randomly chosen DNA fragment was cloned from phage psi M1 DNA, as was its homologous counterpart from the chromosome of M. wolfei. The 126-bp region present in both clones exhibited 100% sequence identity.

Bacteriophages↗

Comparative analysis of the LPS biosynthetic loci of the genetic subtypes of serovar Hardjo: Leptospira interrogans subtype Hardjoprajitno and Leptospira borgpetersenii subtype Hardjobovis.

Although Leptospira borgpetersenii subtype Hardjobovis and L. interrogans subtype Hardjoprajitno belong to different species, they are serologically indistinguishable and are therefore classified as serovar Hardjo. Since LPS is the major antigen involved in serological classification, this implies that the LPS of these subtypes is identical. Comparison of the LPS biosynthetic loci (rfb) of the subtypes revealed remarkable similarity, with 32 and 31 origins of replication (orfs) in the Hardjoprajitno and Hardjobovis rfb loci, respectively. The order and orientation of these orfs were identical with the exception of an additional orf in Hardjoprajitno between orfs 4 and 5 and intergenic sequences differing between the subtypes. The Hardjoprajitno rfb locus has been divided into four intercalated regions based on sequence similarity to other leptospiral rfb loci. orfJ1-orfJ14 as well as orfJ21-orfJ22 are more similar to regions of the rfb locus of L. borgpetersenii subtype Hardjobovis. orfJ15-orfJ20 as well as orfJ23-orfJ31 are almost identical to the corresponding orfs in L. interrogans serovar Copenhageni. We propose that the progenitor Hardjoprajitno strain, containing an rfb locus which closely resembled the Copenhageni locus, acquired orfs 1-14 and orfs 21-22 from subtype Hardjobovis resulting in two serologically indistinguishable subtypes of serovar Hardjo which in turn constituted the main bovine-adapted leptospiral serovar.

Bacterial Proteins↗

Accurate multiplex polony sequencing of an evolved bacterial genome.

We describe a DNA sequencing technology in which a commonly available, inexpensive epifluorescence microscope is converted to rapid nonelectrophoretic DNA sequencing automation. We apply this technology to resequence an evolved strain of Escherichia coli at less than one error per million consensus bases. A cell-free, mate-paired library provided single DNA molecules that were amplified in parallel to 1-micrometer beads by emulsion polymerase chain reaction. Millions of beads were immobilized in a polyacrylamide gel and subjected to automated cycles of sequencing by ligation and four-color imaging. Cost per base was roughly one-ninth as much as that of conventional sequencing. Our protocols were implemented with off-the-shelf instrumentation and reagents.

Acrylic Resins↗

SirA orthologs affect both motility and virulence.

The sirA gene of Salmonella enterica serovar Typhimurium encodes a two-component response regulator of the FixJ family that has a positive regulatory influence on the expression of type III secretion genes involved with epithelial cell invasion and the elicitation of bovine gastroenteritis. SirA orthologs in Pseudomonas, Vibrio, and Erwinia control the expression of distinct virulence genes in these genera, but an evolutionarily conserved target of SirA regulation has never been identified. In this study we tested the hypothesis that sirA may be an ancient member of the flagellar regulon. We examined the effect of a sirA mutation on transcriptional fusions to flagellar promoters (flhD, fliE, fliF, flgA, flgB, fliC, fliD, motA, and fliA) while using fusions to the virulence gene sopB as a positive control. SirA had only small regulatory effects on all fusions in liquid medium (less than fivefold). However, in various types of motility agar plates, sirA was able to activate a sopB fusion by up to 63-fold while repressing flagellar fusions by values exceeding 100-fold. Mutations in the sirA orthologs of Escherichia coli, Vibrio cholerae, Pseudomonas fluorescens, and Pseudomonas aeruginosa result in defects in either motility or motility gene regulation, suggesting that control of flagellar regulons may be an evolutionarily conserved function of sirA orthologs. The implications for our understanding of virulence gene regulation in the gamma Proteobacteria are discussed.

Artificial Gene Fusion↗

Comparative whole-genome analysis of virulent and avirulent strains of Porphyromonas gingivalis.

We used Porphyromonas gingivalis gene microarrays to compare the total gene contents of the virulent strain W83 and the avirulent type strain, ATCC 33277. Signal ratios and scatter plots indicated that the chromosomes were very similar, with approximately 93% of the predicted genes in common, while at least 7% of them showed very low or no signals in ATCC 33277. Verification of the array results by PCR indicated that several of the disparate genes were either absent from or variant in ATCC 33277. Divergent features included already reported insertion sequences and ragB, as well as additional hypothetical and functionally assigned genes. Several of the latter were organized in a putative operon in W83 and encoded enzymes involved in capsular polysaccharide synthesis. Another cluster was associated with two paralogous regions of the chromosome with a low G+C content, at 41%, compared to that of the whole genome, at 48%. These regions also contained conserved and species-specific hypothetical genes, transposons, insertion sequences, and integrases and were located adjacent to tRNA genes; thus, they had several characteristics of pathogenicity islands. While this global comparative analysis showed the close relationship between W83 and ATCC 33277, the clustering of genes that are present in W83 but divergent in or absent from ATCC 33277 is suggestive of chromosomal islands that may have been acquired by lateral gene transfer.

Bacterial Capsules↗

Paths of lateral gene transfer of lysyl-aminoacyl-tRNA synthetases with a unique evolutionary transition stage of prokaryotes coding for class I and II varieties by the same organisms.

BACKGROUND: While the premise that lateral gene transfer (LGT) is a dominant evolutionary force is still in considerable dispute, the case for widespread LGT in the family of aminoacyl-tRNA synthetases (aaRS) is no longer contentious. aaRSs are ancient enzymes, guarding the fidelity of the genetic code. They are clustered in two structurally unrelated classes. Only lysine aminoacyl-tRNA synthetase (LysRS) is found both as a class 1 and a class 2 enzyme (LysRS1-2). Remarkably, in several extant prokaryotes both classes of the enzyme coexist, a unique phenomenon that has yet to receive its due attention. RESULTS: We applied a phylogenetic approach for determining the extent and origin of LGT in prokaryotic LysRS. Reconstructing species trees for Archaea and Bacteria, and inferring that their last common ancestors encoded LysRS1 and LysRS2, respectively, we studied the gains and losses of both classes. A complex pattern of LGT events emerged. In specific groups of organisms LysRS1 was replaced by LysRS2 (and vice versa). In one occasion, within the alpha proteobacteria, a LysRS2 to LysRS1 LGT was followed by reversal to LysRS2. After establishing the most likely LGT paths, we studied the possible origins of the laterally transferred genes. To this end, we reconstructed LysRS gene trees and evaluated the likely origins of the laterally transferred genes. While the sources of LysRS1 LGTs were readily identified, those for LysRS2 remain, for now, uncertain. The replacement of one LysRS by another apparently transits through a stage simultaneously coding for both synthetases, probably conferring a selective advantage to the affected organisms. CONCLUSION: The family of LysRSs features complex LGT events. The currently available data were sufficient for identifying unambiguously the origins of LysRS1 but not of LysRS2 gene transfers. A selective advantage is suggested to organisms encoding simultaneously LysRS1-2.

Alphaproteobacteria↗

The close proximity of Escherichia coli genes: consequences for stop codon and synonymous codon use.

It is shown that synonymous codon usage is less biased in favor of those codons preferred by highly expressed genes at the end of Escherichia coli genes than in the middle. This appears to be due to the close proximity of many E. coli genes. It is shown that a substantial number of genes overlap either the Shine-Dalgarno sequence or the coding sequence of the next gene on the chromosome and that the codons that overlap have lower synonymous codon bias than those which do not. It is also shown that there is an increase in the frequency of A-ending codons, and a decrease in the frequency of G-ending codons at the end of E. coli genes that lie close to another gene. It is suggested that these trends in composition could be associated with selection against the formation of mRNA secondary structure near the start of the next gene on the chromosome. Stop codon use is also affected by the close proximity of genes; many genes are forced to use TGA and TAG stop codons because they terminate either within the Shine-Dalgarno or coding sequence of the next gene on the chromosome. The implications these results have for the evolution of synonymous codon use are discussed.

Base Sequence↗

The fundamental contribution of phages to GAS evolution, genome diversification and strain emergence.

The human bacterial pathogen group A Streptococcus (GAS) causes many different diseases including pharyngitis, tonsillitis, impetigo, scarlet fever, streptococcal toxic shock syndrome, necrotizing fasciitis and myositis, and the post-infection sequelae glomerulonephritis and rheumatic fever. The frequency and severity of GAS infections increased in the 1980s and 1990s, but the cause of this increase is unknown. Recently, genome sequencing of serotype M1, M3 and M18 strains revealed many new proven or putative virulence factors that are encoded by phages or phage-like elements. Importantly, these genetic elements account for an unexpectedly large proportion of the difference in gene content between the three strains. These new genome-sequencing studies have provided evidence that temporally and geographically distinct epidemics, and the complex array of GAS clinical presentations, might be related in part to the acquisition or evolution of phage-encoded virulence factors. We anticipate that new phage-encoded virulence factors will be identified by sequencing the genomes of additional GAS strains, including organisms non-randomly associated with particular clinical syndromes.

Amino Acid Sequence↗

Genetic regulation of secondary metabolic pathways in Streptomyces.

Streptomyces species are (along with the fungi) the best-known antibiotic-producing organisms. Often, they make several different antibiotics. The biosynthesis of each antibiotic is encoded by a complex gene cluster that usually also contains regulatory and resistance genes. Typically, there may be more than one such pathway-specific regulatory gene per cluster. Both activator and repressor genes are known. Some of the regulatory genes for different pathways are related. In S. coelicolor, expression of several such biosynthetic gene clusters also depends on at least 11 globally acting genes, at least one of which is involved in the translation of a rare codon (UUA). A protein phosphorylation cascade also seems to be involved. Gene clusters closely similar to those for the biosynthesis of aromatic polyketide antibiotics determine spore pigment in some species. These genes show different regulation from antibiotic production genes. The evolution of gene clusters for polyketide antibiotics, and the possible adaptive benefits of secondary metabolism, are discussed.

Anti-Bacterial Agents↗

Abortive infection mechanisms and prophage sequences significantly influence the genetic makeup of emerging lytic lactococcal phages.

In this study, we demonstrated the remarkable genome plasticity of lytic lactococcal phages that allows them to rapidly adapt to the dynamic dairy environment. The lytic double-stranded DNA phage ul36 was used to sequentially infect a wild-type strain of Lactococcus lactis and two isogenic derivatives with genes encoding two phage resistance mechanisms, AbiK and AbiT. Four phage mutants resistant to one or both Abi mechanisms were isolated. Comparative analysis of their complete genomes, as well as morphological observations, revealed that phage ul36 extensively evolved by large-scale homologous and nonhomologous recombination events with the inducible prophage present in the host strain. One phage mutant exchanged as much as 79% of its genome compared to the core genome of ul36. Thus, natural phage defense mechanisms and prophage elements found in bacterial chromosomes contribute significantly to the evolution of the lytic phage population.

Bacterial Proteins↗

Major heat-modifiable outer membrane protein in gram-negative bacteria: comparison with the ompA protein of Escherichia coli.

The outer membranes of several strains of Escherichia coli, other enteric bacteria, and a variety of nonenteric gram-negative bacteria all contain a major heat-modifiable protein similar to the OmpA protein of E. coli K-12. The heat-modifiable proteins from these bacteria resemble the K-12 protein in molecular weight, in preferential release from the outer membrane by sodium dodecyl sulfate in the presence of Mg2+, and in characteristic cleavage by proteases to yield a smaller fragment which remains membrane bound. Antiserum directed against the K-12 protein precipitated the heat-modifiable protein from all strains of Enterobacteriaceae, and chemical comparison by isoelectric focusing, cyanogen bromide cleavage profiles, and proteolytic peptide analysis indicated that the proteins from the various enteric bacteria were nearly identical in primary structure. The heat-modifiable proteins from bacteria phylogenically distant from E. coli shared many of the properties of the E. coli protein but were chemically distinct. Thus, it appears that the structure (and, presumably, the function) of the heat-modifiable protein of gram-negative bacteria is strongly conserved during evolution.

Antigens, Bacterial↗

Converting bacteria to organelles: evolution of mitochondrial protein sorting.

During the evolution of mitochondria from free-living alpha-proteobacteria, many bacterial genes were transferred into the nuclear genome of eukaryotic cells. This required the development of both targeting signals on the respective polypeptides and protein translocation machineries (translocases) in the mitochondrial membranes. Most components of these translocases have no obvious homologies to bacterial proteins or proteins found in other organelles. Membrane integration of many inner membrane proteins, however, apparently occurs via a conserved sorting pathway whose components and characteristics resemble protein translocation in bacteria. Consistent with this, the topogenic signals of these mitochondrial inner membrane proteins mimic those of bacterial proteins. The requirement for post-translational transport to their final destination has placed considerable constraints on the evolution of mitochondrial protein sequences.

Bacterial Proteins↗