The first chapter will provide an introduction to the physiology, pathogenesis and biology of mycobacteria. Host-pathogen interactions, different modes of resistance of the bacteria, adaptations for survival under nutrient and oxygen depleted conditions has been discussed. This is followed by a general discussion on gene expression and regulation in the microbe. The physiology of bacteria under stresses from the view of the transcriptional regulation of specific genes has also been discussed. The scope and objective of the present study in M. smegmatis covered in the thesis has been considered at the end. The next chapter discusses the characterization of msdps promoter in vivo with the help of reporter gene assay technologies. With the advent of promoterless E. coli-mycobacterium shuttle vectors, activity assays can be easily performed to characterize unknown upstream putative promoter sequences of genes. Both the 1 kb upstream as well as a 200bp upstream region of msdps gene has been characterized by. Primer extension analysis and subsequent site directed mutagenesis studies reveal +1 transcription start site and the promoter consensus sequence for the msdps gene respectively. Next chapter comprises of the method of constructing heterologous in vitro transcription machinery in mycobacteria. It is followed by characterization of transcription initiation at two dps promoters of M. smegmatis. A novel pull-down assay has been designed which enabled us to identify the sigma factors in the reconstituted RNA polymerases to be associated with the respective dps promoters and to compare the regulation of the two genes at transcription level. Further characterization through single round in vitro transcription at mycobacterial promoters has been attempted. The following two chapters provide some newer insights into the structure-function relationship of the first Dps molecule, MsDps (MsDps1) with respect to its DNA binding activity. The DNA binding activity is associated with the higher oligomeric form only. With the help of time resolved anisotropy and Förster Resonance Energy Transfer (FRET) experiments, we have monitored the nature of Dps dodecamer-DNA complex and mapped the distance between the N and C169 position in the absence and the presence of DNA. A new computational programme, Maximum Entropy Method (MEM) has been applied successfully to analyze data obtained from phase-modulation (Phi-M) lifetime experiments in order to get distribution of lifetime. In the last chapter a new method is adopted to predict amino acids important for stabilizing the interface in a trimeric structure. Subsequently, single and double amino acid mutants of the native MsDps protein has been constructed through site directed mutagenesis and are scored for the ability of the mutants to oligomerize under conditions similar to that of the native protein. This helped us to propose a hypothetical model of the overall mechanism of the protein oligomerization process in solution.

RNA polymerase binding protein A (RbpA) was first discovered as a RNA polymerase binding protein from Streptomyces. coelicolor. It was shown to cause rifampicin tolerance to RNA polymerase in vitro and leads to basal level of rifampicin resistance in vivo. This protein is exclusively present in the actinobacteria family with the nearest neighbour in mycobacteria. When null mutant of RbpA in S. coelicolor were transformed with the rbpA gene from Mycobacterium tuberculosis the resistance level of rifampicin increased from 0.75 µgml-1 to 2 µg ml-1 suggesting analogous role of MtbRbpA (RbpA from M. tuberculosis). MsRbpA, RbpA from Mycobacterium smegmatis was found to interact with the β-subunit of RNAP and its binding location on M. smegmatis RNAP was shown to be 18 Å from the (i+1) site. MsRbpA was also shown to rescue the inhibitory effect of rifampicin in vitro. Furthermore, overexpression of MsRbpA in wild type M. smegmatis resulted in the increase in the MIC of rifampicin to 85 µg ml-1 from 20 µg ml-1, which is the MIC of rifampicin for the wild type M. smegmatis. On the other hand, MsRbpA was unable to augment transcription in the presence of rifampicin when the reaction was catalysed by rifampicin resistant RNAP. Recent reports have shown that MtbRbpA enhances the affinity σA to core RNAP thereby activates transcription. The N and C-termini of MtbRbpA interact with σA while the C-terminal region of MtbRbpA is required for the oligomerisation of MtbRbpA. However M. tuberculosis and S. coleicolor are part of same family actinobacteria, RbpA is essential for the former while it is dispensable in the later case.This work focuses on characterisation of rifampicin resistant RNAP from M. smegmatis and elaborates on the roles played by MsRbpA. These include its effect on transcription activation, transcription rescue, its role in RNAP promoter closed and open complex formation, characterisation of its site of interaction with RNAP and σA, finding critical functional residues and establishing the essentiality of MsRbpA in M. smegmatis. Chapter 1 deals with the literature survey on structure of bacterial RNAP, promoters, sigma factors, RNAP inhibitors, transcriptional activators with the emphasis on the Mycobacteria. Chapter 2 summarises the identification of the mutations in rpoB gene from the rifampicin resistant (RifR) mutant strains of M. smegmatis, purification of RNAP from these strain, determining IC50 values of these RifR RNAP for rifampicin, finding kinetic parameters for the interaction of RifR RNAP with 3-formyl rifampicin and evaluating their interaction with MsRbpA. Chapter 3 describes the function of MsRbpA in transcription initiation, particularly its role in RNAP-promoter closed and open complex formation. Furthermore, this chapter throws light on the role of MsRbpA in transcription activation vis a vis its effects on transcription rescue from the inhibitory effect of rifampicin. Chapter 4 elucidates the function of a segment of MsRbpA from Arg58 to Lys 73 in activation of transcription activity, transcription rescue from the inhibitory effect of rifampicin and its interaction with σA and core RNAP. Furthermore, the alanine scanning of the region and subsequent in vitro transcription studies revealed four important residues required for MsRbpA functions. Chapter 5 describes the generation of conditional knock down strain of MsRbpA in M. smegmatis and establishing its essentiality. Chapter 6 summarizes the work documented in the thesis.

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Evaluating aerodynamic noise from aircraft engines is a design stage process, so that it conform to regulations at airports. Aerodynamic noise is also a principal source of structural vibration and internal noise in short/vertical take off and landing and rocket launches. Acoustic loads may be critical for the proper functioning of electronic and mechanical components. It is imperative to have tools with capability to predict noise generation from turbulent flows. Understanding the mechanism of noise generation is essential in identifying methods for noise reduction. Lighthill (1952) and Lighthill (1954) provided the first explanation for the mechanism of aerodynamic noise generation and a procedure to estimate the radiated sound field. Many such procedures, known as acoustic analogies are used for estimating the radiated sound field in terms of the turbulent fluid flow properties. In these methods, the governing equations of the fluid flow are rearranged into two parts, the acoustic sources and the propagation terms. The noise source terms and propagation terms are different in different approaches. A good description of the turbulent flow field and the noise sources is required to understand the mechanism of noise generation. Computational aeroacoustics (CAA) tools are used to calculate the radiated far field noise. The inputs to the CAA tools are results from CFD simulations which provide details of the turbulent flow field and noise sources. Reynolds-Averaged Navier Stokes (RANS) solutions can be used as inputs to CAA tools which require only time-averaged mean quantities. The output of such tools will also be mean quantities. While complete unsteady turbulent flow details can be obtained from Direct Numerical Simulation (DNS), the computation is limited to low or moderate Reynolds number flows. Large eddy simulations (LES) provide accurate description for the dynamics of a range of large scales. Most of the kinetic energy in a turbulent flow is accounted by the large-scale structures. It is also the large-scale structures which accounts for the maximum contribution towards the radiated sound field. The results from LES can be used as an input to a suitable CAA tool to calculate the sound field. Numerical prediction of turbulent flow field, the acoustic sources and the radiated sound field is at the focus of this study. LES based on explicit filtering method is used for the simulations. The method uses a low-pass compact filter to account for the sub-grid scale effects. A one-parameter fourth-order compact filter scheme from Lele (1992) is used for this purpose. LES has been carried out for four different flow situations: (i) round jet (ii) plane jet (iii) impinging round jet and (iv) impinging plane jet. LES has been used to calculate the unsteady flow evolution of these cases and the Lighthill’s acoustic sources. A compact difference scheme proposed by Hixon & Turkel (1998) which involves only bi-diagonal matrices are used for evaluating spatial derivatives. The scheme provides similar spectral resolution as standard tridiagonal compact schemes for the first spatial derivatives. The scheme is computationally less intensive as it involves only bi-diagonal matrices. Also, the scheme employs only a two-point stencil. To calculate the radiated sound field, the Helmholtz equation is solved using the Green’s function approach, in the form of the Kirchhoff-Helmholtz integral. The integral is performed over a surface which is present entirely in the linear region and covers the volume where acoustic sources are present. The time series data of pressure and the normal component of the pressure gradient on the surface are obtained from the CFD results. The Fourier transforms of the time series of pressure and pressure gradient are then calculated and are used as input for the Kirchhoff-Helmholtz integral. The flow evolution for free jets is characterised by the growth of the instability waves in the shear layer which then rolls up into large vortices. These large vortical structures then break down into smaller ones in a cascade which are convected downstream with the flow. The rms values of the Lighthill’s acoustic sources showed that the sources are located mainly at regions immediately downstream of jet break down. This corresponds to the large scale structures at break down. The radiated sound field from free jets contains two components of noise from the large scales and from the small scales. The large structures are the dominant source for the radiated sound field. The contribution from the large structures is directional, mainly at small angles to the downstream direction. To account for the difference in jet core length, the far field SPL are calculated at points suitably shifted based on the jet core length. The peak value for the radiated sound field occurs between 30°and 35°as reported in literature. Convection of acoustic sources causes the radiated sound field to be altered due to Doppler effect. Lighthills sources along the shear layer were examined in the form of (x, t) plots and phase velocity pattern in (ω, k) plots to analyse for their convective speeds. These revealed that there is no unique convective speeds for the acoustic sources. The median convective velocity Uc of the acoustic sources in the shear layer is proportional to the jet velocity Uj at the center of the nozzle as Uc ≈ 0.6Uj. Simulations of the round jet at Mach number 0.9 were used for validating the LES approach. Five different cases of the round jet were used to understand the effect of Reynolds number and inflow perturbation on the flow, acoustic sources and the radiated sound field. Simulations were carried out for an Euler and LES at Reynolds number 3600 and 88000 at two different inflow perturbations. The LES results for the mean flow field, turbulence profiles and SPL directivity were compared with DNS of Freund (2001) and experimental data available in literature. The LES results showed that an increase in inflow forcing and higher Reynolds number caused the jet core length to reduce. The turbulent energy spectra showed that the energy content in smaller scale is higher for higher Reynolds number. LES of plane jets were carried out for two different cases, one with a co-flow and one without co-flow. LES of plane jets were carried out to understand the effect of co-flow on the sound field. The plane jets were of Mach number 0.5 and Reynolds number of 3000 based on center-line velocity excess at the nozzle. This is similar to the DNS by Stanley et al. (2002). It was identified that the co-flow leads to a reduction in turbulence levels. This was also corroborated by the turbulent energy spectrum plots. The far field radiation for the case without co-flow is higher over all angles. The contribution from the low frequencies is directional, mainly towards the downstream direction. The range of dominant convective velocities of the acoustic sources were different along shear layers and center-line. The plane jet results were also used to bring out a qualitative comparison of flow and the radiation characteristics with round jets. For the round jet, the center-line velocity decays linearly with the stream-wise distance. In the plane jet case, it is the square of the center-line velocity excess which decays linearly with the stream-wise distance. The turbulence levels at any section scales with the center-line stream-wise velocity. The decay of turbulence level is slower for the plane jet and hence the acoustic sources are present for longer distance along the downstream direction. Subsonic impinging jets are composed of four regions, the jet core, the fully developed jet, the impingement zone and the wall jet. The presence of the second region (fully developed free jet) depends on the distance of the wall from the nozzle and the length of the jet core. In impinging jets, reflection from the wall and the wall jet are additional sources of noise compared to the free jets. The results are analysed for the contribution of the different regions of the flow towards the radiated sound field. LES simulations of impinging round jets and impinging plane jet were carried out for this purpose. In addition, the results have been compared with equivalent free jets. The directivity plots showed that the SPL levels are significantly higher for the impinging jets at all angles. For free jets, a typical time scale for the acoustic sources is the ratio of the nozzle size to the jet velocity. This is ro/Uj for round jets and h/Uj for plane jets. For impinging jets, the non-dimensionlised rms of Lighthill’s source indicates that the time scale for acoustic sources is the ratio of the height of the nozzle from the wall to the jet velocity be L/Uj. LES of impinging round jets was carried out for two cases with different inflow perturbations. The jets were at Reynolds number of 88000 and Mach number of 0.9, same as the free jet cases. The impingement wall was at a distance L = 24ro from the nozzle exit. For impinging round jets, the SPL levels are found to be higher than the equivalent free jets. From the SPL levels and radiated noise spectra it was shown that the contribution from the large scale structures and its reflection from the wall is directional and at small angles to the wall normal. The difference in the range of angles where the radiation from the large scale structures were observed shows the significance of refraction of sound waves inside the flow. The rms values of the Lighthill’s sources indicate two dominant regions for the sources, just downstream of jet breakdown and in the impingement zone. The LES of impinging plane jet was done for a jet of Mach number 0.5 and Reynolds number of 6000. The impingement wall was at a distance L = 10h from the nozzle exit. The radiated sound field appears to emanate from this impingement zone. The directivity and the spectrum plots of the far field SPL indicate that there is no preferred direction of radiation from the impingement zone. The Lighthill’s sources are concentrated mainly in the impingement zone. The rms values of the sources indicate that the peak values occur in the impingement zone. The results from the different flow situations demonstrates the capability of LES with explicit filtering method in predicting the turbulent flow and radiated noise field. The method is robust and has been successfully used for moderate Reynolds number and an Euler simulation. An important feature is that LES can be used to identify acoustic sources and its convective speeds. It has been shown that the Lighthill source calculations, the calculated sound field and the observed radiation patterns agree well. An explanation for these based on the different turbulent flow structures has also been provided.