In bacteria, the RNA polymerase (RNAP) consists of the following subunits: α2, β, β’, ω and σ. The core RNAP (α2ββ’ω) possesses the polymerising activity and it associates with one of the sigma factors to initiate transcription from a promoter region on the DNA template. All bacteria carry an essential housekeeping sigma factor and a number of extra cytoplasmic function (ECF) sigma factors. During alternate physiological states, a major part of transcriptional regulation is carried out by sigma factors, which act as transcriptional switches, thus, making it possible for bacteria to adapt to varied environmental signals by transcribing the necessary set of genes. Bacteriophages utilise various mechanisms for subverting the bacterial biochemical machinery for their advantage. One such example in E. coli is AsiA protein encoded by an early gene of T4 bacteriophage. Because of its property of binding to σ70, AsiA can inhibit transcription from E. coli promoters bearing –10 and –35 DNA sequences leading to inhibition of growth. σ70 of E. coli is also regulated by a stationary phase specific protein, Rsd, whose major function seems to be helping the cell in switching the transcription in favour of stationary phase genes. In this study we have investigated the mechanism of interaction of T4 AsiA and E. coli Rsd to σ70 of E. coli and also tried to determine the basis of differential inhibition of E. coli growth by AsiA and Rsd. In chapter one we have reviewed the published literature on regulation of transcription in bacteria. Some of the well known mechanisms of regulating gene expression are: DNA supercoiling, two component signal transduction system (TCS), regulation by alarmone ppGpp and 6S RNA, and sigma-antisigma interactions. Most bacteria carry a number of sigma factors and each of them is dedicated to transcribing genes in response to environmental signals. Intracellular levels of sigma factors and their binding affinity to core RNAP are deciding factors for initiating transcription from specific subsets of genes. In addition, sigma factor activity is also controlled by specific proteins, which bind to sigma factors (anti-sigma factors) under certain environmental conditions. A number of anti-sigma factors have been isolated from a variety of bacteria and the mechanisms of action of binding to cognate sigma factors have been worked out by using genetic, biochemical and structural tools. In chapter two, using yeast two hybrid assay (YTH), we have identified the regions of σ70 which interact with AsiA, and it was observed that amino acid residues from 547-603, encompassing region 4.1 and 4.2 are involved in binding to σ70. Interestingly, we found that truncated σ70 fragments lacking the N-terminal regions, apparently bound to AsiA with higher affinity compared to full length σ70. As AsiA expression, because of its transcription inhibitory activity, is inhibitory to E.coli growth, co-expression of the truncated C-terminal σ70 fragments (e.g. residues 493-613, σ70C121), which bind to σ70 with high affinity, could relieve growth inhibition. The complex of GST:AsiA-σ70C121 could be purified from E. coli cells. GST:AsiA purified from E .coli cells was found to be associated with RNAP subunits. Since further studies on this interaction required GST:AsiA preparation devoid of RNAP subunits, we decided to express this protein in S. cerevisiae. Bioinformatics analysis indicated the absence of a σ70 homologue in S.cerevisiae. As expected, GST:AsiA purified from the yeast was found to be free from any RNAP like proteins. The protein purified from yeast was used for in-vitro binding experiments. Our YTH analysis had indicated that deletion a part of region 4.1 or 4.2 of σ70 leads to loss of binding to AsiA. However, the published NMR structure of AsiA in complex with peptides corresponding to region 4 of σ70, showed that either region 4.1 or 4.2 alone can bind to AsiA indicating at the possible existence of two binding sites for AsiA. In order to confirm the physiological significance of this finding, we studied the interaction of truncated σ70 fragments lacking either region 4.1 or 4.2 with AsiA in-vivo in E. coli and in-vitro by affinity pull down assays. It was observed that σ70 fragments lacking either region 4.1 (σ70∆4.1) or 4.2 (σ70∆4.2), did not neutralize the GST:AsiA toxicity, indicating lack of interaction. The affinity purified GST:AsiA from these E. coli cells did not have σ70∆4.1 or σ70∆4.2 associated with it. Similar results were obtained from pull down assays in-vitro, where we found that σ70∆4.1 or σ70∆4.2 do not show any observable interaction with AsiA. This clearly established that the minimum region of σ70 required for physiologically relevant interaction with AsiA consists of both the regions 4.1 and 4.2. Chapter 3 of this thesis has been devoted to this aspect of AsiA-σ70 interaction. Having defined the minimum region of σ70 interacting with AsiA, we sought to identify the regions and amino acid residues of AsiA, which are critical for interaction with σ70. The approach for identification of mutants and their characterisation has been discussed in chapter 4. For this purpose, we made systematic deletions in the N and C-terminal regions of the protein and also isolated random mutants of AsiA, which lack binding to σ70 and thus are non-inhibitory to E. coli growth. It was found that deletion of 5 amino acids from N-terminus and 17 amino acids from C-terminus did not alter the inhibitory activity of AsiA. In contrast, deletion of N-terminal 10 amino residues led to complete loss of activity, while in the C-terminus, a gradual loss of activity was observed when amino acid residues beyond 17 amino acids were deleted. A 34 amino acids C-terminal deletion mutant was found to be completely inactive. E10K mutant was found to be inactive, but changes of E to other amino acids such as S, Y, L, A and Q were tolerated, indicating that negative charge at E10 is not a crucial element for interaction with σ70. Inactive mutants could be overexpressed in E. coli and showed reduced binding in YTH assay and were also poor inhibitors of in-vivo transcription in E. coli. We concluded that the primary σ70 binding site of AsiA is present in the N-terminus, yet C-terminal 64-73 amino acid residues are required for effective binding in-vivo. These studies also correlate the inhibitory potential of AsiA with its σ70 binding proficiency. In chapter 5, we have made a comparative analysis of mechanism of interaction of AsiA and Rsd to E. coli RNAP. Overexpression of Rsd was found to be less inhibitory to E. coli cell growth than that of AsiA. The affinity purified GST-AsiA from E. coli was found to have all the RNAP subunits associated with it, whereas, only σ70 was found to be associated with similarly purified GST:Rsd, pointing towards differences in binding to RNAP. In affinity pull down assays, in-vitro, it was found that both AsiA and Rsd do not show any observable binding to core RNAP. Binding of AsiA to σ70 in holo RNAP led to the formation of a ternary complex, whereas no ternary complex was observed when Rsd was made to interact with holo RNAP. Analysis of protein-protein interaction by YTH showed that region 4.1 and 4.2 are critical for binding of both AsiA and Rsd to σ70. However, in the case of Rsd, the surface of interaction is not limited to this region only and other regions of σ70 make significant contribution to this binding. Possibly, the interaction of Rsd with the core binding regions of σ70 prevents its association with core RNAP. Kinetic analysis of binding by surface plasmon resonance (SPR) showed that binding affinities (Kd) of AsiA and Rsd to σ70 are in similar range. Therefore, we concluded that the ability of AsiA to trap the holo RNAP is, probably, responsible for higher inhibitory activity of this protein compared to that of Rsd. Thus, T4 AsiA and E. coli Rsd, which share regions of interaction on σ70, have evolved differences in their mechanism of binding to RNAP such that T4 AsiA, by trapping the holo RNAP subverts the complete bacterial transcription machinery to transcribe its own genes. Rsd, on the other hand, has evolved to interact primarily with σ70, which favours the utilisation of core RNAP by other sigma factors.

Regulation of transcription in prokaryotes is primarily governed at the transcription initiation step. This feature has been extensively characterized in model prokaryotes notably Escherichia coli and Bacillus subtilis. Transcription initiation was initially thought to be governed primarily by initiation factors that recruit the RNA polymerase (RNAP) enzyme to initiate expression of given gene. Recent studies reveal multiple mechanisms at play including additional protein factors that can modulate gene expression. Nonetheless, understanding transcription factors is key to rationalize the nuanced changes in prokaryotic gene expression in response to diverse environmental stimuli. This is particularly relevant in the case of the human pathogen, Mycobacterium tuberculosis, especially due to the ability of this bacterium to survive in the host, often for several decades prior to the onset of the disease. Transcription initiation factors, also called σ factors in prokaryotes, are diverse in size and sensory/regulatory mechanisms. Indeed, the number of alternate σ factors vary substantially from six in E. coli to more than 118 in Plesiocystis pacifica. The large number of alternative σ factors has been suggested to be correlated with the diversity of micro-environments experienced by a bacterial cell. Studies on several prokaryotic σ factors reveal common features in these proteins that was not evident earlier due to poor sequence conservation. A central theme that emerges from these studies is that a minimalistic architecture of two domains can recognize promoter DNA and recruit the RNAP enzyme to initiate transcription. Additional domains are required when certain promoter elements are missing or to enable a specific, context dependent regulatory mechanism. The work reported in this thesis was influenced by previous studies in this laboratory and elsewhere on M. tuberculosis σ factors. While these studies revealed multiple features of transcription initiation, several aspects of this mechanism, including some classes of σ factors remain to be examined. The focus of this study was to examine an under-explored sub-group of σ factors, classified as the ECF41 sub-group. This sub-group has an additional domain at the Carboxy-terminus that has been hypothesised to influence σ factor activity. Towards this goal, M. tuberculosis σJ was examined. Previous studies suggested a role for this σ factor in modulating the response to hydrogen peroxide stress. An intriguing feature based on sequence analysis was that neither did this extra-cytoplasmic function σ factor have an anti-σ factor that can respond to oxidative stress nor was it directly associated with a mechanism to sense oxidative stress. The specific goal of the research described here was to understand the structural and mechanistic features that govern σJ activity. This thesis is organized as follows- The first chapter provides a brief introduction to prokaryotic transcription and regulatory mechanisms that govern this process. This chapter also has the literature necessary to phrase the problem in characterizing this family of proteins with particular reference to the unique physiology of Mycobacterium tuberculosis. A summary of the previous work is provided in this chapter to place the current study in context of previous studies and highlight the lacunae in our understanding of the transcription mechanism in M. tuberculosis. Chapter two describes the structural characterization of M. tuberculosis σJ by single-crystal X-ray diffraction. The poor sequence similarity of σJ to known σ factors precluded efforts to obtain phase information by molecular replacement methods. Here we also describe the steps that were essential to obtain diffraction quality crystals and the subsequent steps to account for pseudo-merohedral twinning, an imperfection that could have potentially been a limitation for structure determination. The crystal structure of σJ provide an example of successful phase determination with data collected on near-perfectly twinned crystals using single-wavelength anomalous dispersion. Chapter three describes computational efforts to understand the regulatory mechanisms of M. tuberculosis σJ. Classical Molecular Dynamics (MD) simulations were performed to understand the role of a C-terminal SnoaL_2 domain in this transcription factor. The MD simulations suggest that the C-terminal SnoaL_2 domain limits inter-domain movements between σJ2 (the pribnow box binding domain) and σJ4 (the -35 promoter element binding domain) and confers a compact three domain organization to this protein. The biochemical and functional characterization of M. tuberculosis σJ is described in chapter four. This includes in vitro studies on σJ and cognate promoter DNA interactions performed using Surface Plasmon Resonance (SPR) and Electrophoretic Mobility Shift Assays (EMSA). The ex vivo reporter based experiments to examine the effect of SnoaL_2 domain on σJ activity are also described. Spectroscopic studies on σJ interactions with a small molecule limonene-1,2-epoxide suggested a potential novel role for the SnoaL_2 domain in σJ. Chapter five summarizes the work on M. tuberculosis σJ reported in this thesis. We note that this study opens up a new perspective to understand σ factors. In particular, M. tuberculosis σJ suggests that the domain organization is likely to be retained in ECF41 sub-group of σ factors. This study also hints at broader implications in the distinction between one-component systems and transcription factors. Bioinformatic analysis suggest that observations similar to that noted in M. tuberculosis σJ are likely to be more widespread across diverse phyla than currently acknowledged. This thesis has three annexures. Annexure-I summarizes experimental details of the work performed on the M. tuberculosis σ/anti-σ factor complex σH/RshA. Annexure-II summarizes experimental details and strategies that could not be incorporated in the main body of this thesis. Annexure-III describes a short project performed on a bi-domain protein tyrosine phosphatase PTP99A.

During the past decade the effects of macromolecular crowding on reaction pathways is gaining in prominence. The stress is to move out of the realms of ideal solution studies and make conceptual modifications that consider non-ideality as a variable in our calculations. In recent years it has been shown that molecular crowding exerts significant effects on all in vivo processes, from DNA conformational changes, protein folding to DNA-protein interactions, enzyme pathways and signalling pathways. Both thermodynamic as well as kinetic parameters vary by orders of magnitude in uncrowded buffer system as compared to those in the crowded cellular milieu. Ignoring these differences will restrict our knowledge of biology to a “model system” with few practical understandings. The recent expansion of the genome database has stimulated a study on numerous previously unknown proteins. This has whetted our thirst to model the cellular determinants in a more comprehensive manner. Intracellular extract would have been the ideal solution to re-create the cellular environment. However, studies conducted in this solution will be contaminated by interference with other biologically active molecule and relevant statistical data cannot be extracted out from it. Recent advances in methodologies to mimic the cellular crowding include use of inert macromolecules to reduce the volume occupancy of target molecules and the use of immobilization techniques to increase the surface density of molecules in a small volumetric region. The use of crowding agents often results in non-specific interaction and side-reactions like aggregation of the target molecules with the crowding agents themselves. Immobilization of one of the interacting partners reduces the probability of aggregation and precipitation of bio-macromolecules by restricting their degrees of freedom. Covalent linkage of molecules on solid support is used extensively in research for creating a homogeneous surface of bound molecules which can be interrogated for their reactivity. However, when it comes to biomolecules, direct immobilization on solid support or use of organic linkers often results in denaturation. The use of bio-affinity immobilization techniques can help us overcome this problem. Since mild conditions are needed to regenerate such a surface, it finds universal applicability as bio-memory chips. This thesis focuses on our attempts to design a physiologically viable immobilization technique for following rotein-protein/protein-DNA interactions. The work explores the mechanism for biological interactions related to transcription process in E. coli. Chapter 1 deals with the literary survey of the importance and effects of molecular crowding on biological reactions. It gives a brief history of the efforts been made so far by experimentalists, to mimic macromolecular crowding and the methods applied. The chapter tries to project an all-round perspective of the pros and cons of different immobilization techniques as a means to achieve a high surface density of molecules and the advancements so far. Chapter 2 deals with the detailed technicality and applicability of the Langmuir-Blodgett method. It discusses the rationale behind our developing this technique as an alternate means of bio-affinity immobilization, under physiologically compatible conditions. It then goes on to describe our efforts to follow the sequence-specific and sequential assembly process of a functional RNA polymerase enzyme with one immobilized partner and also explore the role of omega subunit of RNAP in the reconstitution pathway. This chapter uses the assembly process of a multi-subunit enzyme to evaluate the efficiency of the LB system as a universal two-dimensional scaffold to follow sequence-specific protein-ligand interaction. Chapter 3 discusses the application of LB technique to quantitatively evaluate the kinetics and thermodynamics of promoter-RNA polymerase interaction under conditions of reduced dimensionality. Here, we follow the interaction of T7A1 phage promoter with Escherichia coli RNA polymerase using our Langmuir-Blodgett technique. The changes in mechanistic pathway and trapping of kinetic intermediates are discussed in detail due to the imposed restriction in the degrees of freedom of the system. The sensitivity of this detection method is compared vis-a-vis conventional immobilization methods like SPR. This chapter firmly establishes the universal application of LB technique as a means to emulate molecular crowding and as a sensitive assay for studying the effects of such crowding on vital biological reaction pathway. Chapter 4 describes the mechanistic pathway for the physical binding of MsDps1 protein with long dsDNA in order to physically protect DNA during oxidative stress. The chapter describes in detail the mechanism of physical sequestering of non-specific DNA strands and compaction of the genome under conditions where a kinetic bottleneck has been applied. The data obtained is compared with results obtained in the previous chapter for the sequence-specific DNA-protein interaction in order to understand the difference in recognition process between regulatory and structural proteins binding to DNA. Chapter 5 deals with the evaluation of the σ-competition model in E. coli for three different sigma factors (all belonging to the σ-70 family). Here again, we have evaluated the kinetic and thermodynamic parameters governing the binding of core RNAP with its different sigma factors (σ70, σ32and σ38) and performed a comparative study for the binding of each sigma factor to its core using two different non-homogeneous immobilization techniques. The data has been analyzed globally to resolve the discrepancies associated with establishing the relative affinity of the different sigma factors for the same core RNA polymerase under physiological conditions. Chapter 6 summarizes the work presented in this thesis. In the Appendix section we have followed the unzipping of promoter DNA sequence using Optical Tweezers in an attempt to follow the temporal fluctuations occurring in biological reactions in real time and at a single molecule level.