Eyeing bacterial genomes

The density of information in a bacterial genome allows its history, organization and encoded functions to be distilled into a single graphical representation. These features have made it possible to discern the forces acting in and on bacterial genomes at levels not attainable in eukaryotes.     

Evolution of bacterial genomes

This review examines evolution of bacterial genomes with an emphasis on RNA based life, the transition to functional DNA and small evolving genomes (possibly plasmids) that led to larger, functional bacterial genomes.     

Denitrifying genes in bacterial and Archaeal genomes

Denitrification, the reduction of nitrate or nitrite to nitrous oxide or dinitrogen, is the major mechanism by which fixed nitrogen returns to the atmosphere from soil and water. Although the denitrifying ability has been found in microorganisms belonging to numerous groups of bacteria and Archaea, the genes encoding the denitrifying reductases have been studied in only few species. Recent investigations have led to the identification of new classes of denitrifying reductases, indicating a more complex genetic basis of this process than previously recognized. The increasing number of genome sequencing projects has opened a new way to study the genetics of the denitrifying process in bacteria and Archaea. In this review, we summarized the current knowledge on denitrifying genes and compared their genetic organizations by using new sequences resulting from the analysis of finished and unfinished microbial genomes with a special attention paid to the clustering of genes encoding different classes of reductases. In addition, some evolutionary relationships between the structural genes are presented.     

Recognizing the pseudogenes in bacterial genomes

Pseudogenes are now known to be a regular feature of bacterial genomes and are found in particularly high numbers within the genomes of recently emerged bacterial pathogens. As most pseudogenes are recognized by sequence alignments, we use newly available genomic sequences to identify the pseudogenes in 11 genomes from 4 bacterial genera, each of which contains at least 1 human pathogen. The numbers of pseudogenes range from 27 in Staphylococcus aureus MW2 to 337 in Yersinia pestis CO92 (e.g. 1–8% of the annotated genes in the genome). Most pseudogenes are formed by small frameshifting indels, but because stop codons are A + T-rich, the two low-G + C Gram-positive taxa (Streptococcus and Staphylococcus) have relatively high fractions of pseudogenes generated by nonsense mutations when compared with more G + C-rich genomes. Over half of the pseudogenes are produced from genes whose original functions were annotated as ‘hypothetical’ or ‘unknown’; however, several broadly distributed genes involved in nucleotide processing, repair or replication have become pseudogenes in one of the sequenced Vibrio vulnificus genomes. Although many of our comparisons involved closely related strains with broadly overlapping gene inventories, each genome contains a largely unique set of pseudogenes, suggesting that pseudogenes are formed and eliminated relatively rapidly from most bacterial genomes.     

Neutral mutations and neutral substitutions in bacterial genomes

Molecular evolutionary biologists usually assess the underlying spectrum of mutations within a bacterial genome by examining substitutions that occur at sites believed to be under no selective constraints. Alternatively, bacterial mutation rates can also be estimated in a variety of experimental systems. The two classes of changes occurring in DNA sequences-i.e., mutations and neutral substitutions-are, in theory, identical; however, the rates and patterns of mutations in bacteria, as inferred from sequence comparisons, often differ significantly from those derived experimentally. These differences have resulted in conflicting interpretations of the nonselective forces that affect mutation rates.     

Gene conversion and concerted evolution in bacterial genomes

Gene conversion is defined as the non-reciprocal transfer of information between homologous sequences. Despite methodological problems to establish non-reciprocity, gene conversion has been demonstrated in a wide variety of bacteria. Besides examples of high-frequency reversion of mutations in repeated genes, gene conversion in bacterial genomes has been implicated in concerted evolution of multigene families. Gene conversion also has a prime importance in the generation of antigenic variation, an interesting mechanism whereby some bacterial pathogens are able to avoid the host immune system. In this review, we analyze examples of bacterial gene conversion (some of them spawned from the current genomic revolution), as well as the molecular models that explain gene conversion and its association with crossovers.     

Fold predictions for bacterial genomes

Fold assignments for newly sequenced genomes belong to the most important and interesting applications of the booming field of protein structure prediction. We present a brief survey and a discussion of such assignments completed to date, using as an example several fold assignment projects for proteins from the Escherichia coli genome. This review focuses on steps that are necessary to go beyond the simple assignment projects and into the development of tools extending our understanding of functions of proteins in newly sequenced genomes. This paper also discusses several problems seldom addressed in the literature, such as the problem of domain prediction and complementary predictions (e.g., transmembrane regions and flexible regions) and cross-correlation of predictions from different servers. The influence of sequence and structure database growth on prediction success is also addressed. Finally, we discuss the perspectives of the field in the context of massive sequence and structure determination projects, as well as the development of novel prediction methods.     

Modification profiles of bacterial genomes

DNAs were prepared from twenty-six bacterial species and digested with a variety of restriction endonucleases to determine what modifications the DNAs carry. Several general conclusions could be made: 1) First, in no instance was the DNA of a restriction enzyme. 2) The specificity of the DNA modification was the same as that of its restriction counterpart; there were no cases of the DNAs being modified against a less specific class of restriction enzymes. 3) In most (but not all) cases, the resistance of a bacterium's DNA to its own restriction enzyme could be generalized to include resistance to all other restriction enzymes with the same specificity (isoschizomers). 4) DNA modified within the central tetramer of a recognition sequence is usually protected against cleavage by all related hexameric enzymes possessing that central tetramer. Only three families of DNA presented in this study disobey this rule. 5) Finally, a significant number of cases emerge where bacterial DNA carries a modification but no corresponding restriction endonuclease activity.     

Order and disorder in the nucleus

Fluorescence in situ hybridization combined with three-dimensional microscopy has shown that chromosomes are not randomly strewn throughout the nucleus but are in fact fairly well organized, with different loci reproducibly found in different regions of the nucleus. At the same time, increasingly sophisticated methods to track and analyze the movements of specific chromosomal loci in vivo using four-dimensional microscopy have revealed that chromatin undergoes extensive Brownian motion. However, the diffusion of interphase chromatin is constrained, implying that chromosomes are physically anchored within the nucleus. This constraint on diffusion is the result of interactions between chromatin and structural elements within the nucleus, such as nuclear pores or the nuclear lamina. The combination of defined positioning with constrained diffusion has a strong impact on interactions between chromosomal loci, and appears to explain the tendency of certain chromosome rearrangements to occur during the development of cancer.     

The generation of variation in bacterial genomes

In the context of a general overview of molecular mechanisms of microbial evolution, several genetic systems known to either promote or restrain the generation of genetic variations are discussed. Particular attention is given to functions involved in DNA rearrangements and DNA acquisition. Sporadic actions by a variety of such systems influencing genetic stability in either way result in a level of genetic plasticity which is tolerable to the overall wealth of microbial populations but which allows for evolutionary change needed for a steady adaptation to variable selective forces. Although these evolutionarily relevant biological functions are encoded by the genome of each individual, their actions are exerted to some degree randomly in rare individuals and are therefore seemingly nondeterministic and become manifest at the population level.     

The evolution of domain-content in bacterial genomes

Background  

Across all sequenced bacterial genomes, the number of domains n _c in different functional categories c scales as a power-law in the total number of domains n, i.e. , with exponents α _c that vary across functional categories. Here we investigate the implications of these scaling laws for the evolution of domain-content in bacterial genomes and derive the simplest evolutionary model consistent with these scaling laws.     

Locating transposable element polymorphisms in bacterial genomes

Although whole-genome sequencing is greatly extending our knowledge of the genetic capacity of those bacterial species, it is only directly informative for the particular strain sequenced. Many bacterial species exhibit more or less genetic polymorphism within their populations and characterising this variety is an extremely important way of elucidating the biology of these species. Often genomic polymorphisms are associated with multicopy elements, particularly transposable elements. We describe a novel method that efficiently characterises the sequences of such polymorphisms. We have optimised heminested inverse PCR (hINVPCR) to assess the diversity of insertional polymorphisms of a transposable element (IS6110) in clinical isolates of Mycobacterium tuberculosis. To increase the yield of information, genomic DNA was digested with different endonucleases (Bsp1286I, HaeII or PvuI), and primers based on both the 5' and 3' ends of IS6110 were used to amplify and determine the genomic sequence upstream (or downstream) of the transposable element. We found that both the choice of restriction enzyme and the use of primers at both ends of the transposable element significantly increased the diversity of the insertion sites identified. Band stabbing was incorporated into the method as an alternative to cloning in order to screen large number of isolates at a sequence level in a rapid and labour-efficient fashion. We describe some of the purposes to which such data can be put.     

Ectopic gene conversions in bacterial genomes.

We characterized the gene conversions found between the duplicated genes of 75 bacterial genomes from five species groups (archaea, nonpathogenic and pathogenic firmicutes, and nonpathogenic and pathogenic proteobacteria). The number of gene conversions is positively correlated with the size of multigene families and the size of multigene families is not significantly different between pathogenic and nonpathogenic taxa. However, gene conversions occur twice as frequently in pathogenic species as in nonpathogenic species. Comparisons between closely related species also indicate a trend towards increased gene conversion in pathogenic species. Whereas the length of the conversions is positively correlated with flanking sequence similarity in all five groups, these correlations are smaller for pathogenic firmicutes and proteobacteria than for nonpathogenic firmicutes and proteobacteria. These results are consistent with our previous work on E. coli genomes and suggest that pathogenic bacteria allow recombination between more divergent gene sequences. This higher permissiveness is likely adaptive because it allows them to generate more genetic variability.