Comparing the similarity of different groups of bacteria to the human proteome

Numerous aspects of the relationship between bacteria and human have been investigated. One aspect that has recently received attention is sequence overlap at the proteomic level. However, there has not yet been a study that comprehensively characterizes the level of sequence overlap between bacteria and human, especially as it relates to bacterial characteristics like pathogenicity, G-C content, and proteome size. In this study, we began by performing a general characterization of the range of bacteria-human similarity at the proteomic level, and identified characteristics of the most- and least-similar bacterial species. We then examined the relationship between proteomic similarity and numerous other variables. While pathogens and nonpathogens had comparable similarity to the human proteome, pathogens causing chronic infections were found to be more similar to the human proteome than those causing acute infections. Although no general correspondence between a bacterium's proteome size and its similarity to the human proteome was noted, no bacteria with small proteomes had high similarity to the human proteome. Finally, we discovered an interesting relationship between similarity and a bacterium's G-C content. While the relationship between bacteria and human has been studied from many angles, their proteomic similarity still needs to be examined in more detail. This paper sheds further light on this relationship, particularly with respect to immunity and pathogenicity.     

A question of size: the eukaryotic proteome and the problems in defining it

We discuss the problems in defining the extent of the proteomes for completely sequenced eukaryotic organisms (i.e. the total number of protein-coding sequences), focusing on yeast, worm, fly and human. (i) Six years after completion of its genome sequence, the true size of the yeast proteome is still not defined. New small genes are still being discovered, and a large number of existing annotations are being called into question, with these questionable ORFs (qORFs) comprising up to one-fifth of the ‘current’ proteome. We discuss these in the context of an ideal genome-annotation strategy that considers the proteome as a rigorously defined subset of all possible coding sequences (‘the orfome’). (ii) Despite the greater apparent complexity of the fly (more cells, more complex physiology, longer lifespan), the nematode worm appears to have more genes. To explain this, we compare the annotated proteomes of worm and fly, relating to both genome-annotation and genome evolution issues. (iii) The unexpectedly small size of the gene complement estimated for the complete human genome provoked much public debate about the nature of biological complexity. However, in the first instance, for the human genome, the relationship between gene number and proteome size is far from simple. We survey the current estimates for the numbers of human genes and, from this, we estimate a range for the size of the human proteome. The determination of this is substantially hampered by the unknown extent of the cohort of pseudogenes (‘dead’ genes), in combination with the prevalence of alternative splicing. (Further information relating to yeast is available at http://genecensus.org/yeast/orfome)     

Genome dynamics in major bacterial pathogens

Pathogenic bacteria continuously encounter multiple forms of stress in their hostile environments, which leads to DNA damage. With the new insight into biology offered by genome sequences, the elucidation of the gene content encoding proteins provides clues toward understanding the microbial lifestyle related to habitat and niche. Campylobacter jejuni, Haemophilus influenzae, Helicobacter pylori, Mycobacterium tuberculosis , the pathogenic Neisseria, Streptococcus pneumoniae, Streptococcus pyogenes and Staphylococcus aureus are major human pathogens causing detrimental morbidity and mortality at a global scale. An algorithm for the clustering of orthologs was established in order to identify whether orthologs of selected genes were present or absent in the genomes of the pathogenic bacteria under study. Based on the known genes for the various functions and their orthologs in selected pathogenic bacteria, an overview of the presence of the different types of genes was created. In this context, we focus on selected processes enabling genome dynamics in these particular pathogens, namely DNA repair, recombination and horizontal gene transfer. An understanding of the precise molecular functions of the enzymes participating in DNA metabolism and their importance in the maintenance of bacterial genome integrity has also, in recent years, indicated a future role for these enzymes as targets for therapeutic intervention.     

Bioinformatic Comparison of Bacterial Secretomes

The rapid increasing number of completed bacterial genomes provides a good op-portunity to compare their proteomes. This study was undertaken to specifically compare and contrast their secretomes-the fraction of the proteome with pre-dicted N-terminal signal sequences, both type Ⅰ and type Ⅱ. A total of 176 theoreti-cal bacterial proteomes were examined using the ExProt program. Compared with the Gram-positives, the Gram-negative bacteria were found, on average, to con-tain a larger number of potential Sec-dependent sequences. In the Gram-negative bacteria but not in the others, there was a positive correlation between proteome size and secretome size, while there was no correlation between secretome size and pathogenicity. Within the Gram-negative bacteria, intracellular pathogens were found to have the smallest secretomes. However, the secretomes of certain bacte-ria did not fit into the observed pattern. Specifically, the secretome of Borrelia burgdoferi has an unusually large number of putative lipoproteins, and the signal peptides of mycoplasmas show closer sequence similarity to those of the Gram-negative bacteria. Our analysis also suggests that even for a theoretical minimal genome of 300 open reading frames, a fraction of this gene pool (up to a maximum of 20%) may code for proteins with Sec-dependent signal sequences.     

Integrating genomics,bioinformatics, and classical genetics to study the effects of recombination on genome evolution

This study presents compelling evidence that recombination significantly increases the silent GC content of a genome in a selectively neutral manner, resulting in a highly significant positive correlation between recombination and "GC3s" in the yeast Saccharomyces cerevisiae. Neither selection nor mutation can explain this relationship. A highly significant GC-biased mismatch repair system is documented for the first time in any member of the Kingdom Fungi. Much of the variation in the GC3s within yeast appears to result from GC-biased gene conversion. Evidence suggests that GC-biased mismatch repair exists in numerous organisms spanning six kingdoms. This transkingdom GC mismatch repair bias may have evolved in response to a ubiquitous AT mutational bias. A significant positive correlation between recombination and GC content is found in many of these same organisms, suggesting that the processes influencing the evolution of the yeast genome may be a general phenomenon. Nonrecombining regions of the genome and nonrecombining genomes would not be subject to this type of molecular drive. It is suggested that the low GC content characteristic of many nonrecombining genomes may be the result of three processes (1) a prevailing AT mutational bias, (2) random fixation of the most common types of mutation, and (3) the absence of the GC-biased gene conversion which, in recombining organisms, permits the reversal of the most common types of mutation. A model is proposed to explain the observation that introns, intergenic regions, and pseudogenes typically have lower GC content than the silent sites of corresponding open reading frames. This model is based on the observation that the greater the heterology between two sequences, the less likely it is that recombination will occur between them. According to this "Constraint" hypothesis, the formation and propagation of heteroduplex DNA is expected to occur, on average, more frequently within conserved coding and regulatory regions of the genome. In organisms possessing GC-biased mismatch repair, this would enhance the GC content of these regions through biased gene conversion. These findings have a number of important implications for the way we view genome evolution and suggest a new model for the evolution of sex.     

Towards a comprehensive understanding of Bacillus subtilis cell physiology by physiological proteomics

Using Bacillus subtilis as a model system for functional genomics, this review will provide insights how proteomics can be used to bring the virtual life of genes to the real life of proteins. Physiological proteomics will generate a new and broad understanding of cellular physiology because the majority of proteins synthesized in the cell can be visualized. From a physiological point of view two major proteome fractions can be distinguished: proteomes of growing cells and proteomes of nongrowing cells. In the main analytical window almost 50% of the vegetative proteome expressed in growing cells of B. subtilis were identified. This proteomic view of growing cells can be employed for analyzing the regulation of entire metabolic pathways and thus opens the chance for a comprehensive understanding of metabolism and growth processes of bacteria. Proteomics, on the other hand, is also a useful tool for analyzing the adaptational network of nongrowing cells that consists of several partially overlapping regulation groups induced by stress/starvation stimuli. Furthermore, proteomic signatures for environmental stimuli can not only be applied to predict the physiological state of cells, but also offer various industrial applications from fermentation monitoring up to the analysis of the mode of action of drugs. Even if DNA array technologies currently provide a better overview of the gene expression profile than proteome approaches, the latter address biological problems in which they can not be replaced by mRNA profiling procedures. This proteomics of the second generation is a powerful tool for analyzing global control of protein stability, the protein interaction network, protein secretion or post-translational modifications of proteins on the way towards the elucidation of the mystery of life.     

High-frequency homologous recombination in plants mediated by zinc-finger nucleases

Homologous recombination offers great promise for plant genome engineering. This promise has not been realized, however, because when DNA enters plant cells homologous recombination occurs infrequently and random integration predominates. Using a tobacco test system, we demonstrate that chromosome breaks created by zinc-finger nucleases greatly enhance the frequency of localized recombination. Homologous recombination was measured by restoring function to a defective GUS:NPTII reporter gene integrated at various chromosomal sites in 10 different transgenic tobacco lines. The reporter gene carried a recognition site for a zinc-finger nuclease, and protoplasts from each tobacco line were electroporated with both DNA encoding the nuclease and donor DNA to effect repair of the reporter. Homologous recombination occurred in more than 10% of the transformed protoplasts regardless of the reporter's chromosomal position. Approximately 20% of the GUS:NPTII reporter genes were repaired solely by homologous recombination, whereas the remainder had associated DNA insertions or deletions consistent with repair by both homologous recombination and non-homologous end joining. The DNA-binding domain encoded by zinc-finger nucleases can be engineered to recognize a variety of chromosomal target sequences. This flexibility, coupled with the enhancement in homologous recombination conferred by double-strand breaks, suggests that plant genome engineering through homologous recombination can now be reliably accomplished using zinc-finger nucleases.     

DNA repair in reduced genome: the Mycoplasma model

The occurrence of bacteria with a reduced genome, such as that found in Mycoplasmas, raises the question as to which genes should be enough to guarantee the genomic stability indispensable for the maintenance of life. The aim of this work was to compare nine Mycoplasma genomes in regard to DNA repair genes. An in silico analysis was done using six Mycoplasma species, whose genomes are accessible at GenBank, and M. synoviae, and two strains of M. hyopneumoniae, whose genomes were recently sequenced by The Brazilian National Genome Project Consortium and Southern Genome Investigation Program (Brazil) respectively. Considering this reduced genome model, our comparative analysis suggests that the DNA integrity necessary for life can be primarily maintained by nucleotide excision repair (NER), which is the only complete repair pathway. Furthermore, some enzymes involved with base excision repair (BER) and recombination are also present and can complement the NER activity. The absence of RecR and RecO-like ORFs was observed only in M. genitalium and M. pneumoniae, which can be involved with the conservation of gene order observed between these two species. We also obtained phylogenetic evidence for the recent acquisition of the ogt gene in M. pulmonis and M. penetrans by a lateral transference event. In general, the presence or nonexistence of repair genes is shared by all species analyzed, suggesting that the loss of the majority of repair genes was an ancestral event, which occurred before the divergence of the Mycoplasma species.     

Paramecium bursaria chlorella virus 1 proteome reveals novel architectural and regulatory features of a giant virus

The 331-kbp chlorovirus Paramecium bursaria chlorella virus 1 (PBCV-1) genome was resequenced and annotated to correct errors in the original 15-year-old sequence; 40 codons was considered the minimum protein size of an open reading frame. PBCV-1 has 416 predicted protein-encoding sequences and 11 tRNAs. A proteome analysis was also conducted on highly purified PBCV-1 virions using two mass spectrometry-based protocols. The mass spectrometry-derived data were compared to PBCV-1 and its host Chlorella variabilis NC64A predicted proteomes. Combined, these analyses revealed 148 unique virus-encoded proteins associated with the virion (about 35% of the coding capacity of the virus) and 1 host protein. Some of these proteins appear to be structural/architectural, whereas others have enzymatic, chromatin modification, and signal transduction functions. Most (106) of the proteins have no known function or homologs in the existing gene databases except as orthologs with proteins of other chloroviruses, phycodnaviruses, and nuclear-cytoplasmic large DNA viruses. The genes encoding these proteins are dispersed throughout the virus genome, and most are transcribed late or early-late in the infection cycle, which is consistent with virion morphogenesis.     

Reduction of bacterial genome size and expansion resulting from obligate intracellular lifestyle and adaptation to soil habitat.

Prokaryotic organisms are exposed in the course of evolution to various impacts, resulting often in drastic changes of their genome size. Depending on circumstances, the same lineage may diverge into species having substantially reduced genomes, or such whose genomes have undergone considerable enlargement. Genome reduction is a consequence of obligate intracellular lifestyle rendering numerous genes expendable. Another consequence of intracellular lifestyle is reduction of effective population size and limited possibility of gene acquirement via lateral transfer. This causes a state of relaxed selection resulting in accumulation of mildly deleterious mutations that can not be corrected by recombination with the wild type copy. Thus, gene loss is usually irreversible. Additionally, constant environment of the eukaryotic cell renders that some bacterial genes involved in DNA repair are expandable. The loss of these genes is a probable cause of mutational bias resulting in a high A+T content. While causes of genome reduction are rather indisputable, those resulting in genome expansion seem to be less obvious. Presumably, the genome enlargement is an indirect consequence of adaptation to changing environmental conditions and requires the acquisition and integration of numerous genes. It seems that the need for a great number of capabilities is common among soil bacteria irrespective of their phylogenetic relationship. However, this would not be possible if soil bacteria lacked indigenous abilities to exchange and accumulate genetic information. The latter are considerably facilitated when housekeeping genes are physically separated from adaptive loci which are useful only in certain circumstances.     

Comparison of whole genome sequences of Chlamydia pneumoniae J138 from Japan and CWL029 from USA

Chlamydia pneumoniae is a widespread pathogen of humans causing pneumonia and bronchitis. There are many reports of an association between C.pneumoniae infection and atherosclerosis. We determined the whole genome sequence of C.pneumoniae strain J138 isolated in Japan in 1994 and compared it with the sequence of strain CWL029 isolated in the USA before 1987. The J138 circular chromosome consists of 1 226 565 nt (40.7% G+C) with 1072 likely protein-coding genes that is 3665 nt shorter than the CWL029 genome. Plasmids, phage- or transposon-like sequences were not identified. The overall genomic organization, gene order and predicted proteomes of the two strains are very similar, suggesting a high level of structural and functional conservation between the two unrelated isolates. The most conspicuous differences in the J138 genome relative to the CWL029 genome are the absence of five DNA segments, ranging in size from 89 to 1649 nt, and the presence of three DNA segments, ranging from 27 to 84 nt. The complex organization of these ‘different zones’ may be attributable to a unique system of recombination.     

Streamlined CRISPR genome engineering in wild-type bacteria using SIBR-Cas

CRISPR-Cas is a powerful tool for genome editing in bacteria. However, its efficacy is dependent on host factors (such as DNA repair pathways) and/or exogenous expression of recombinases. In this study, we mitigated these constraints by developing a simple and widely applicable genome engineering tool for bacteria which we termed SIBR-Cas (Self-splicing Intron-Based Riboswitch-Cas). SIBR-Cas was generated from a mutant library of the theophylline-dependent self-splicing T4 td intron that allows for tight and inducible control over CRISPR-Cas counter-selection. This control delays CRISPR-Cas counter-selection, granting more time for the editing event (e.g. by homologous recombination) to occur. Without the use of exogenous recombinases, SIBR-Cas was successfully applied to knock-out several genes in three wild-type bacteria species (Escherichia coli MG1655, Pseudomonas putida KT2440 and Flavobacterium IR1) with poor homologous recombination systems. Compared to other genome engineering tools, SIBR-Cas is simple, tightly regulated and widely applicable for most (non-model) bacteria. Furthermore, we propose that SIBR can have a wider application as a simple gene expression and gene regulation control mechanism for any gene or RNA of interest in bacteria.     

Spirochete contributions to the eukaryotic genome

Expanded genome/proteome databases and effective use of sequence alignment tools make it possible to trace the phylogeny of individual eukaryotic proteins and ultimately to identify the prokaryotes that contributed to the last eukaryotic common ancestor (LECA). I developed an application of reciprocal BLASTp that identifies (1) the prokaryotic lineages that have contributed to the nuclear genome and (2) the specific proteins acquired from prokaryotic ancestors. Eight complete eubacterial proteomes were analyzed: two free-living spirochetes, two clostridia, two actinobacteria, and two proteobacteria (one alpha and one gamma). The data reveal a spirochete genetic contribution to the eukaryotic genome including essential proteins involved in DNA binding and repair, cyclic nucleotide metabolism, acyltransferase, and signal transduction. My results, consistent with the sulfur syntrophy hypothesis that posits LECA evolved from a merger of spirochetes (eubacteria) with sulfidogenic eocytes (archaebacteria), confirm the contribution of mitochondrial genes from alpha-proteobacteria. A contribution from clostridia to eukaryote genomes was also detected whereas none was seen from either actinobacterium or Escherichia coli. The complete spirochete and clostridial genetic contributions to eukaryotes and those of other eu-and archaebacteria can be identified by this method.