At the onset of the initiation of chromosome replication, bacterial replicative helicases are recruited and loaded on the DnaA-oriC nucleoprotein platform, assisted by proteins like DnaC/DnaI or DciA. Two orders of bacteria appear, however, to lack either of these factors, raising the question of the essentiality of these factors in bacteria. Through a phylogenomic approach, we identified a pair of genes that could have substituted for dciA. The two domesticated genes are specific of the dnaC/dnaI- and dciA-lacking organisms and apparently domesticated from lambdoid phage genes. They derive from λO and λP and were renamed dopC and dopE, respectively. DopE is expected to bring the replicative helicase to the bacterial origin of replication, while DopC might assist DopE in this function. The confirmation of the implication of DopCE in the handling of the replicative helicase at the onset of replication in these organisms would generalize to all bacteria and therefore to all living organisms the need for specific factors dedicated to this function.

The overwhelming and exhausting avalanche of complete genome sequences has lead to a concomitant flood of information concerning complete proteomes. In principle, knowing the nucleotide sequence of a whole genome enables the location all of its genes and therefore the sequences of all the proteins that are encoded by these genes. Fortuitous identities are necessarily more numerous with nucleotide sequences; hence there is a loss in selectivity. Although the raw data have come initially from genomic nucleotide sequences, we speak only of protein sequence comparisons. The most rigorous algorithm for aligning a pair of sequences was provided by Needleman and Wunsch, which guarantees that the alignment score thus obtained is the largest possible score for the two sequences. The way of building the clusters in the "Systers" databank is simple and ingenuous. Syntenic regions shared by different chromosomes mean that the chromosomal segments contain the same homologous genes.

Mycobacterium abscessus is an emerging rapidly growing mycobacterium (RGM) causing a pseudotuberculous lung disease to which patients with cystic fibrosis (CF) are particularly susceptible. We report here its complete genome sequence. The genome of M. abscessus (CIP 104536T) consists of a 5,067,172-bp circular chromosome including 4920 predicted coding sequences (CDS), an 81-kb full-length prophage and 5 IS elements, and a 23-kb mercury resistance plasmid almost identical to pMM23 from Mycobacterium marinum. The chromosome encodes many virulence proteins and virulence protein families absent or present in only small numbers in the model RGM species Mycobacterium smegmatis. Many of these proteins are encoded by genes belonging to a “mycobacterial” gene pool (e.g. PE and PPE proteins, MCE and YrbE proteins, lipoprotein LpqH precursors). However, many others (e.g. phospholipase C, MgtC, MsrA, ABC Fe(3+) transporter) appear to have been horizontally acquired from distantly related environmental bacteria with a high G+C content, mostly actinobacteria (e.g. Rhodococcus sp., Streptomyces sp.) and pseudomonads. We also identified several metabolic regions acquired from actinobacteria and pseudomonads (relating to phenazine biosynthesis, homogentisate catabolism, phenylacetic acid degradation, DNA degradation) not present in the M. smegmatis genome. Many of the “non mycobacterial” factors detected in M. abscessus are also present in two of the pathogens most frequently isolated from CF patients, Pseudomonas aeruginosa and Burkholderia cepacia. This study elucidates the genetic basis of the unique pathogenicity of M. abscessus among RGM, and raises the question of similar mechanisms of pathogenicity shared by unrelated organisms in CF patients.

We present here a method to identify microsyntenies across several genomes. This method adopts the innovative approach of deconstructing proteins into their domains. This allows the detection of strings of domains that are conserved in their content, but not necessarily in their order, that we refer to as domain teams or syntenies of domains. The prominent feature of the method is that it relaxes the rigidity of the orthology criterion and avoids many of the pitfalls of gene families identification methods, often hampered by multidomain proteins or low levels of sequence similarity. This approach, that allows both inter- and intrachromosomal comparisons, proves to be more sensitive than the classical methods based on pairwise sequence comparisons, particularly in the simultaneous treatment of many species. The automated and fast detection of domain teams is implemented in the DomainTeam software. In this chapter, we describe the procedure to run DomainTeam. After formatting the input and setting up the parameters, running the algorithm produces an output file comprising all the syntenies of domains shared by two or more (sometimes all) of the compared genomes.

Background: The outermost layer of the bacterial surface is of crucial importance because it is in constant interaction with the host. Glycopeptidolipids (GPLs) are major surface glycolipids present on various mycobacterial species. In the fast-grower model organism Mycobacterium smegmatis, GPL biosynthesis involves approximately 30 genes all mapping to a single region of 65 kb.Results: We have recently sequenced the complete genomes of two fast-growers causing human infections, Mycobacterium abscessus (CIP 104536T) and M. chelonae (CIP 104535T). We show here that these two species contain genes corresponding to all those of the M. smegmatis "GPL locus", with extensive conservation of the predicted protein sequences consistent with the production of GPL molecules indistinguishable by biochemical analysis. However, the GPL locus appears to be split into several parts in M. chelonae and M. abscessus. One large cluster (19 genes) comprises all genes involved in the synthesis of the tripeptide-aminoalcohol moiety, the glycosylation of the lipopeptide and methylation/ acetylation modifications. We provide evidence that a duplicated acetyltransferase (atf1 and atf2) in M. abscessus and M. chelonae has evolved through specialization, being able to transfer one acetyl at once in a sequential manner. There is a second smaller and distant (M. chelonae, 900 kb; M. abscessus, 3 Mb) cluster of six genes involved in the synthesis of the fatty acyl moiety and its attachment to the tripeptide-aminoalcohol moiety. The other genes are scattered throughout the genome, including two genes encoding putative regulatory proteins.Conclusion: Although these three species produce identical GPL molecules, the organization of GPL genes differ between them, thus constituting species-specific signatures. An hypothesis is that the compact organization of the GPL locus in M. smegmatis represents the ancestral form and that evolution has scattered various pieces throughout the genome in M. abscessus and M. chelonae.

We present here a method to identify microsyntenies across several genomes. This method adopts the innovative approach of deconstructing proteins into their domains. This allows the detection of strings of domains that are conserved in their content, but not necessarily in their order, that we refer to as domain teams or syntenies of domains. The prominent feature of the method is that it relaxes the rigidity of the orthology criterion and avoids many of the pitfalls of gene families identification methods, often hampered by multidomain proteins or low levels of sequence similarity. This approach, that allows both inter- and intrachromosomal comparisons, proves to be more sensitive than the classical methods based on pairwise sequence comparisons, particularly in the simultaneous treatment of many species. The automated and fast detection of domain teams is implemented in the DomainTeam software. In this chapter, we describe the procedure to run DomainTeam. After formatting the input and setting up the parameters, running the algorithm produces an output file comprising all the syntenies of domains shared by two or more (sometimes all) of the compared genomes.

A key question in molecular genetics is why severe gene mutations often do not result in a detectable abnormal phenotype. Alternative networks are known to be a gene compensation mechanism. Gene redundancy, i.e. the presence of a duplicate gene (or paralog) elsewhere in the genome, also underpins many cases of gene dispensability. Here, we investigated the role of partial duplicate genes on dispensability, where a partial duplicate is defined as a gene that has no paralog but which codes for a protein made of domains, each of which belongs to at least another protein. The rationale behind this investigation is that, as a partial duplicate codes for a domain redundant protein, we hypothesised that its deletion might have a less severe phenotypic effect than the deletion of other genes. This prompted us to (re)address the topic of gene dispensability by focusing on domain redundancy rather than on gene redundancy. Using fitness data of single-gene deletion mutants of Saccharomyces cerevisiae, we will show that domain redundancy is a compensation mechanism, the strength of which is lower than that of gene redundancy. Finally, we shall discuss the molecular basis of this new compensation mechanism.

Most proteins comprise one or several domains. New domain architectures can be created by combining previously existing domains. The elementary events that create new domain architectures may be categorized into three classes, namely domain(s) insertion or deletion (indel), exchange and repetition. Using 'DomainTeam', a tool dedicated to the search for microsyntenies of domains, we quantified the relative contribution of these events. This tool allowed us to collect homologous bacterial genes encoding proteins that have obviously evolved by modular assembly of domains. We show that indels are the most frequent elementary events and that they occur in most cases at either the N- or C-terminus of the proteins. As revealed by the genomic neighbourhood/context of the corresponding genes, we show that a substantial number of these terminal indels are the consequence of gene fusions/fissions. We provide evidence showing that the contribution of gene fusion/fission to the evolution of multi-domain bacterial proteins is lower-bounded by 27% and upper-bounded by 64%. We conclude that gene fusion/fission is a major contributor to the evolution of multi-domain bacterial proteins.

MOTIVATION:The Dam methyltransferase (DamMT) activity, broadly distributed in association with restriction endonucleases, as part of the restriction-modification defense systems, has evolved to become intimately associated with essential biological functions in a few organisms. In Escherichia coli, DamMT is involved in multiple aspects of DNA maintenance, replication initiation, daughter chromosome segregation, DNA mismatch repair, gene expression control, etc. The participation of DamMT in such a diverse set of functions required that other genes adapted, or emerged through evolution, in response to the DamMT-induced modification of the genomic environment. One example is SeqA, a protein that senses the methylation status of the origin of replication of the chromosome to control the timing of replication initiation. Interestingly, seqA is only present in a few DamMT-specifying proteobacteria. This observation led us to hypothesize that other genes, specifying related functions, might also be found in these organisms. To test this hypothesis, we implemented a large-scale comparative genomic screen meant to identify genes specifying DNA methylation sensing domains, probably involved in DNA maintenance functions.RESULTS:We carried out a phylogenetic analysis of DamMT, identifying two contrasting behaviors of the protein. Based on this phylogeny, we defined precisely a set of genomes, in which the protein activity is likely to be involved in DNA maintenance functions, the 'resident' dam genomes. We defined a second set of genomes, in which DamMT is not resident. We developped a new tool, 'DomainSieve', in order to screen these two sets for protein domains that are strictly associated with 'resident' dam genomes. This approach was rewarding and generated a list of genes, among which some, at least, specify activities with clear linkage to DamMT-dependent DNA methylation and DNA maintenance.AVAILABILITY:DomainSieve is implemented as a web resource and is accessible at http://stat.genopole.cnrs.fr/ds/.

The detection, across several genomes, of local conservation of gene content and proximity considerably helps the prediction of features of interest, such as gene fusions or physical and functional interactions. Here, we want to process realistic models of chromosomes, in which genes (or genomic segments of several genes) can be duplicated within a chromosome, or be absent from some other chromosome(s). Our approach adopts the technique of temporarily forgetting genes and working directly with protein "domains" such as those found in Pfam. This allows the detection of strings of domains that are conserved in their content, but not necessarily in their order, which we refer to as domain teams. The prominent feature of the method is that it relaxes the rigidity of the orthology criterion and avoids many of the pitfalls of gene-families identification methods, often hampered by multidomain proteins or low levels of sequence similarity. This approach, that allows both inter- and intrachromosomal comparisons, proves to be more sensitive than the classical methods based on pairwise sequence comparisons, particularly in the simultaneous treatment of many species. The automated and fast detection of domain teams, together with its increased sensitivity at identifying segments of identical (protein-coding) gene contents as well as gene fusions, should prove a useful complement to other existing methods.