We have taken the first steps towards a complete reconstruction of the Mycobacterium tuberculosis regulatory network based on ChIP-Seq and combined this reconstruction with system-wide profiling of messenger RNAs, proteins, metabolites and lipids during hypoxia and re-aeration. Adaptations to hypoxia are thought to have a prominent role in M. tuberculosis pathogenesis. Using ChIP-Seq combined with expression data from the induction of the same factors, we have reconstructed a draft regulatory network based on 50 transcription factors. This network model revealed a direct interconnection between the hypoxic response, lipid catabolism, lipid anabolism and the production of cell wall lipids. As a validation of this model, in response to oxygen availability we observe substantial alterations in lipid content and changes in gene expression and metabolites in corresponding metabolic pathways. The regulatory network reveals transcription factors underlying these changes, allows us to computationally predict expression changes, and indicates that Rv0081 is a regulatory hub.

The Mycobacterium tuberculosis genome contains 11 serine/threonine kinase genes including two, pknA and pknB, that are part of an operon encoding genes involved in cell shape control and cell wall synthesis. Here we demonstrate that pknA and pknB are predominantly expressed during exponential growth, and that overexpression of these kinases slows growth and alters cell morphology. We determined the preferred substrate motifs of PknA and PknB, and identified three in vivo substrates of these kinases: PknB; Wag31, an ortholog of the cell division protein DivIVA; and Rv1422, a conserved protein of unknown function. Expression of different alleles of wag31 in vivo alters cell shape, in a manner dependent on the phosphoacceptor residue in the protein produced. Partial depletion of pknA or pknB results in narrow, elongated cells. These data indicate that signal transduction mediated by these kinases is a novel mechanism for the regulation of cell shape in mycobacteria, one that may be conserved among gram-positive bacteria.[Keywords: Kinase; DivIVA; peptide library screen; mycobacteria] Supplemental material is available at http://www.genesdev.org.

SigH is a key regulator of an extensive transcriptional network that responds to oxidative, nitrosative, and heat stresses in Mycobacterium tuberculosis, and this sigma factor is required for virulence in animal models of infection. SigH is negatively regulated by RshA, its cognate anti-sigma factor, which functions as a stress sensor and redox switch. While RshA provides a direct mechanism for sensing stress and activating transcription, bacteria use several types of signal transduction systems to sense the external environment. M. tuberculosis encodes several serine-threonine protein kinase signaling molecules, 2 of which, PknA and PknB, are essential and have been shown to regulate cell morphology and cell wall synthesis. In this work, we demonstrate that SigH and RshA are phosphorylated in vitro and in vivo by PknB. We show that phosphorylation of RshA, but not SigH, interferes with the interaction of these 2 proteins in vitro. Consistent with this finding, negative regulation of SigH activity by RshA in vivo is partially relieved in strains in which pknB is over-expressed, resulting in increased resistance to oxidative stress. These findings demonstrate an interaction between the signaling pathways mediated by PknB and the stress response regulon controlled by SigH. The intersection of these apparently discrete regulatory systems provides a mechanism by which limited activation of the SigH-dependent stress response in M. tuberculosis can be achieved. Coordination of the PknB and SigH regulatory pathways through phosphorylation of RshA may lead to adaptive responses that are important in the pathogenesis of M. tuberculosis infection.anti-sigma factor ͉ sigma factor ͉ transcription regulation ͉ phosphorylation S igH, an alternative sigma factor of Mycobacterium tuberculosis and other mycobacterial species, is a central regulator of the response to oxidative, nitrosative, and heat stresses. SigH directly regulates both effectors of the response to these stresses and additional transcription regulators that control expression of a broad range of stress response genes (1-4). The SigHdependent activation of this extensive stress response regulon is critical for M. tuberculosis virulence, as a sigH mutant is highly attenuated in the mouse model of infection (5).SigH activity is regulated at the transcriptional level via autoregulation of the sigH promoter, and posttranslationally via interaction with its cognate anti-sigma factor, RshA. This protein is a member of the Zinc-associated anti-sigma (ZAS) family, several members of which, including RshA, have been shown to function as redox switch proteins (3, 6-8). The interaction of RshA with SigH is disrupted under oxidizing conditions, allowing SigH to associate with core RNA polymerase and activate transcription of stress response genes and additional transcription regulators. The autoregulation of the sigH promoter results in rapid, strong induction of the SigH regulon following oxidative stress, which is maintained until redox homeostasis is reestablished and th...

BackgroundThe sequence of the pathogen Mycobacterium tuberculosis (Mtb) strain H37Rv has been available for over a decade, but the biology of the pathogen remains poorly understood. Genome sequences from other Mtb strains and closely related bacteria present an opportunity to apply the power of comparative genomics to understand the evolution of Mtb pathogenesis. We conducted a comparative analysis using 31 genomes from the Tuberculosis Database (TBDB.org), including 8 strains of Mtb and M. bovis, 11 additional Mycobacteria, 4 Corynebacteria, 2 Streptomyces, Rhodococcus jostii RHA1, Nocardia farcinia, Acidothermus cellulolyticus, Rhodobacter sphaeroides, Propionibacterium acnes, and Bifidobacterium longum.ResultsOur results highlight the functional importance of lipid metabolism and its regulation, and reveal variation between the evolutionary profiles of genes implicated in saturated and unsaturated fatty acid metabolism. It also suggests that DNA repair and molybdopterin cofactors are important in pathogenic Mycobacteria. By analyzing sequence conservation and gene expression data, we identify nearly 400 conserved noncoding regions. These include 37 predicted promoter regulatory motifs, of which 14 correspond to previously validated motifs, as well as 50 potential noncoding RNAs, of which we experimentally confirm the expression of four.ConclusionsOur analysis of protein evolution highlights gene families that are associated with the adaptation of environmental Mycobacteria to obligate pathogenesis. These families include fatty acid metabolism, DNA repair, and molybdopterin biosynthesis. Our analysis reinforces recent findings suggesting that small noncoding RNAs are more common in Mycobacteria than previously expected. Our data provide a foundation for understanding the genome and biology of Mtb in a comparative context, and are available online and through TBDB.org.