Protein Tagging, Destruction and Infection.

Cells possess protein quality control mechanisms to maintain proper cellular homeostasis. In eukaryotes, the roles of the ubiquitination and proteasome-mediated degradation of cellular proteins is well established. Recent studies have elucidated protein tagging mechanisms in prokaryotes, involving transfer messenger RNA (tmRNA) and pupylation. In this review, newer insights and bioinformatics analysis of two distinct bacterial protein tagging machineries are discussed. The machinery for tmRNAmediated tagging is present in several eubacterial representatives, e.g. Escherichia coli, Mycobacterium tuberculosis, Bacillus subtilis etc., but not in two archaeal representatives, such as Thermoplasma acidophilum and Sulfolobus solfataricus. On the other hand, the machinery involving tagging with the prokaryotic ubiquitin-like protein (Pup) is absent in most bacteria but is encoded in some eubacterial representatives, e.g. Mycobacterium tuberculosis and Mycobacterium leprae. Furthermore, molecular details on the relationship between protein tagging and enzymes involved in protein degradation in bacteria during infection are emerging. Several pathogenic bacteria that do not express the major ATP-dependent proteases, Lon and Caseinolytic protease (ClpP), are avirulent. Also, some ATP-independent peptidases, such as PepA and PepN, modulate the infection process. The roles of bacterial proteins involved in tagging and degradation during infection are discussed. These aspects add a new dimension to better understanding of the peculiarities of host-pathogen interactions.

Metabolome based reaction graphs of M. tuberculosis and M. leprae: a comparative network analysis.

BACKGROUND: Several types of networks, such as transcriptional, metabolic or protein-protein interaction networks of various organisms have been constructed, that have provided a variety of insights into metabolism and regulation. Here, we seek to exploit the reaction-based networks of three organisms for comparative genomics. We use concepts from spectral graph theory to systematically determine how differences in basic metabolism of organisms are reflected at the systems level and in the overall topological structures of their metabolic networks. METHODOLOGY/PRINCIPAL FINDINGS: Metabolome-based reaction networks of Mycobacterium tuberculosis, Mycobacterium leprae and Escherichia coli have been constructed based on the KEGG LIGAND database, followed by graph spectral analysis of the network to identify hubs as well as the sub-clustering of reactions. The shortest and alternate paths in the reaction networks have also been examined. Sub-cluster profiling demonstrates that reactions of the mycolic acid pathway in mycobacteria form a tightly connected sub-cluster. Identification of hubs reveals reactions involving glutamate to be central to mycobacterial metabolism, and pyruvate to be at the centre of the E. coli metabolome. The analysis of shortest paths between reactions has revealed several paths that are shorter than well established pathways. CONCLUSIONS: We conclude that severe downsizing of the leprae genome has not significantly altered the global structure of its reaction network but has reduced the total number of alternate paths between its reactions while keeping the shortest paths between them intact. The hubs in the mycobacterial networks that are absent in the human metabolome can be explored as potential drug targets. This work demonstrates the usefulness of constructing metabolome based networks of organisms and the feasibility of their analyses through graph spectral methods. The insights obtained from such studies provide a broad overview of the similarities and differences between organisms, taking comparative genomics studies to a higher dimension.

Hallmarks of mycolic acid biosynthesis: a comparative genomics study.

Mycolic acids, which render unique qualities to mycobacteria, are known to be important for mycobacterial growth, survival, and pathogenicity. It is of interest to understand the evolutionary origins of the mycolic acid pathway (MAP), as well as the common minimum principles critical for generating the capability of mycolic acid biosynthesis. The recent curation of a comprehensive model of the MAP in Mycobacterium tuberculosis and the availability of a large number of genome sequences make it feasible to carry out detailed sequence and phylogenetic analyses, to address these questions. A comprehensive phylogenetic pathway profile analysis was carried out for 318 fully sequenced bacterial genomes, for each of the proteins present in the MAP. The organisms were clustered on the basis of co-occurrence of the MAP proteins in their proteome, while the proteins were clustered on the basis of their phylogenetic profiles. The MAP proteins were also searched against the nonredundant sequence database, to identify similar proteins from other phyla. The pathway profiles indicate that four proteins and certain protein domains stand out as more characteristic to mycolate producing organisms. Further analysis leads to the identification of the desaturases DesA1 and DesA2 and certain domains of Fas and Pks13 as hallmarks of the pathway. The roles of these proteins in some other organisms, as well as the distribution of these proteins across all known genome sequences are also briefly discussed. The clustering of organisms, carried out to group organisms with similar profiles, provides a means of obtaining finer classification as compared to the standard taxonomic method. The results indicate that the MAP and hence the capacity of mycolic acid production in mycobacteria is an example of an emergent property that has come about by recruiting enzymes from unrelated pathways in plants, presumably through lateral gene transfer. The understanding of the hallmarks of mycolic acid biosynthesis will also find application in evaluating drug targets.