Analysis of Two Component Systems in Group B Streptococcus Shows that RgfAC and the Novel FspSR Modulate Virulence and Bacterial Fitness

Group B Streptococcus (GBS), in its transition from commensal to pathogen, will encounter diverse host environments and thus require coordinately controlling its transcriptional responses to these changes. This work was aimed at better understanding the role of two component signal transduction systems (TCS) in GBS pathophysiology through a systematic screening procedure. We first performed a complete inventory and sensory mechanism classification of all putative GBS TCS by genomic analysis. Five TCS were further investigated by the generation of knock-out strains, and in vitro transcriptome analysis identified genes regulated by these systems, ranging from 0.1-3% of the genome. Interestingly, two sugar phosphotransferase systems appeared differently regulated in the knock-out mutant of TCS-16, suggesting an involvement in monitoring carbon source availability. High throughput analysis of bacterial growth on different carbon sources showed that TCS-16 was necessary for growth of GBS on fructose-6-phosphate. Additional transcriptional analysis provided further evidence for a stimulus-response circuit where extracellular fructose-6-phosphate leads to autoinduction of TCS-16 with concomitant dramatic up-regulation of the adjacent operon encoding a phosphotransferase system. The TCS-16-deficient strain exhibited decreased persistence in a model of vaginal colonization and impaired growth/survival in the presence of vaginal mucoid components. All mutant strains were also characterized in a murine model of systemic infection, and inactivation of TCS-17 (also known as RgfAC) resulted in hypervirulence. Our data suggest a role for the previously unknown TCS-16, here named FspSR, in bacterial fitness and carbon metabolism during host colonization, and also provide experimental evidence for TCS-17/RgfAC involvement in virulence.

Study of two novel streptococcus pneumoniae operons: pilus islet 2 and the lantibiotic operon

Analysis of publicly available genomes of Streptococcus pneumoniae has led to the identification of a new genomic element resembling gram-positive pilus islets (PIs). Here, we demonstrate that this genomic region, herein referred to as PI-2 (containing the genes pitA, sipA, pitB, srtG1, and srtG2) codes for a novel functional pilus in pneumococcus. Therefore, there are two pilus islets identified so far in this pathogen (PI-1 and PI-2). Polymerization of the PI-2 pilus requires the backbone protein PitB as well as the sortase SrtG1 and the signal peptidase-like protein SipA. PI-2 is associated with serotypes 1, 2, 7F, 19A, and 19F, considered to be emerging in both industrialized and developing countries. Interestingly, strains belonging to clonal complex 271 (CC271) contain both PI-1 and PI-2, as revealed by genome analyses. In these strains both pili are surface exposed and independently assembled. Furthermore, in vitro experiments provide evidence that the pilus encoded by PI-2 of S. pneumoniae is involved in adherence. Thus, pneumococci encode at least two types of pili that may play a role in the initial host cell contact to the respiratory tract. In addition, the pilus proteins are potential antigens for inclusion in a new generation of pneumococcal vaccines. Adherence by pili could represent important factor in bacterial community formation, since it has been demonstrated that bacterial community formation plays an important role in pneumococcal otitis media. In vitro quantification of bacterial community formation by S. pneumoniae was performed in order to investigate the possible role of pneumococcal pili to form communities. By using different growth media we were not able to see clear association between pili and community formation. But our findings revealed that strains belonging to MLST clonal complex CC15 efficiently form bacterial communities in vitro in a glucose dependent manner. We compared the genome of forty-four pneumococcal isolates discovering four open reading frames specifically associated with CC15. These four genes are annotated as members of an operon responsible for the biosynthesis of a putative lanctibiotic peptide, described to be involved in bacterial community formation. Our experiments show that the lanctibiotic operon deletion affects glucose mediated community formation in CC 15 strain INV200. Moreover, since glucose consumption during bacterial growth produce an acidic environment, we tested bacterial community formation at different pH and we showed that the lanctibiotic operon deletion affected pH mediated community formation in CC 15 strain INV200. In conclusion, these data demonstrate that the putative lanctibiotic operon is associated with pneumococcal CC 15 strains in vitro bacterial community formation.

Stochastic models and dynamic measures for the characterization of bistable circuits

During the last few years, a great deal of interest has risen concerning the applications of stochastic methods to several biochemical and biological phenomena. Phenomena like gene expression, cellular memory, bet-hedging strategy in bacterial growth and many others, cannot be described by continuous stochastic models due to their intrinsic discreteness and randomness. In this thesis I have used the Chemical Master Equation (CME) technique to modelize some feedback cycles and analyzing their properties, including experimental data. In the first part of this work, the effect of stochastic stability is discussed on a toy model of the genetic switch that triggers the cellular division, which malfunctioning is known to be one of the hallmarks of cancer. The second system I have worked on is the so-called futile cycle, a closed cycle of two enzymatic reactions that adds and removes a chemical compound, called phosphate group, to a specific substrate. I have thus investigated how adding noise to the enzyme (that is usually in the order of few hundred molecules) modifies the probability of observing a specific number of phosphorylated substrate molecules, and confirmed theoretical predictions with numerical simulations. In the third part the results of the study of a chain of multiple phosphorylation-dephosphorylation cycles will be presented. We will discuss an approximation method for the exact solution in the bidimensional case and the relationship that this method has with the thermodynamic properties of the system, which is an open system far from equilibrium.In the last section the agreement between the theoretical prediction of the total protein quantity in a mouse cells population and the observed quantity will be shown, measured via fluorescence microscopy.