Microorganisms grow in planktonic form, but more often they adhere to a number of surfaces and create three-dimensional structures called biofilms. Floating biofilms, which are formed at the water-air interface, are one of the life strategies, which the bacteria can take. Non-pathogenic Mycobacterium smegmatis was used as a laboratory model for the study of this kind of biofilm. The understanding of mechanisms of their formation of this species may be applicable to the pathogenic species of the genus Mycobacterium, study of which in the laboratory brings a number of disadvantages. This diploma thesis focuses on the morphological and proteome analysis of the M. smegmatis floating biofilm. Using a stereo microscope and scanning electron microscopy was observed that bacteria clump and create the "nucleation centres" at the beginning of the biofilm development. This centers grow to the surroundings and connect afterwards. In the later stages of the development the centers fuse in compact layer, which then grows into the compact and multilayer biofilm. The key method in this study was two-dimensional electrophoresis of proteins. The proteome analysis of floating biofilm was performed with this method. The preparation of protein samples and the method for protein concentration measurement was optimized....

Packaging of genomic DNA by proteins and super coiling into chromatin and chromatin-like structures (in bacteria) influences nearly all nuclear process such as replication, transcription, repair, and recombination. A ubiquitous class of enzymes termed “DNA topoisomerases” pay key roles during these process. The reactions catalyzed by the members of the DNA topoisomerases family share a common chemistry, which involves phosphodiester bond breakage and re-joining, to bring about a change in the linking number of DNA. Nevertheless, the underlying mechanisms used by these enzymes differ significantly from another. Consequently, DNA topoisomerases are divided into type I and type II enzymes. The mechanism(s) by which DNA topoisomerases perform their functions, and act as targets for anti-bacterial and anti-neoplastic drugs, has attracted considerable interest. Based on these and other finding, I have chosen DNA gyrase from mycobacteria as the subject of my Ph.D. theses investigation. The prokaryotic enzyme, DNA gyrase, is unique amongst all topoisomerases being the only enzyme capable of introducing negative super coils in to duplex DNA. Since no equivalent enzymatic activity has been reported in humans, this essential enzyme has been exploited as a during target against many microbial infections including tuberculosis.DNA gyrase is a tetrameric protein, comprised of two pairs of subunits, encoded by gyrA and gyrB. Inhibitors of DNA gyrase know till date target either of the two subunits and are categorized broadly in to two class, viz. coumarins and quinolones. With the emergence of multiple-drug resistant strains of pathogenic bacteria such as Mycobacterium tuberculosis, which is a leading cause of death world-wide, there is a need to develops new lead molecules with novel mechanisms of inhibition. Towards this end, a new approach to inhibit the mycobacterial DNA gyrase using single-chain antibody has been explore in the present study. In addition to this, the differences in the catalytic properties of the subunits and assembly of the Mycobacterium smegmatis enzyme vis-à-vis Escherichia coli DNA gyrase have been examined. Further, the in vivo relationship of DNA gyrase with the transcription machinery of the cell has also been investigated, with an emphasis on the biology of mycobacteria.

The Dps (DNA-Binding Protein from Starved Cells) proteins are a class of stress-specific proteins with a major role in protecting DNA during the stationary phase of bacterial growth, through direct physical binding as well as ferroxidation. These proteins are characteristically dodecameric in nature. Mycobacterium smegmatis, which is the model organism used in this study has two Dps homologues- MsDps1 and MsDps2. MsDps1, that has previously been studied, is exceptional in having trimeric as well as dodecameric states in vitro. This work focuses on the functional domains of MsDps1, with respect to its oligomerisation and DNA binding property, the identification of a new Dps homologue MsDps2, the in vitro characterization of MsDps2 and elucidation of a possible function of the protein in the physiology of Mycobacterium smegmatis. The Thesis is organized as shown below: Chapter 1: The literature on the bacterial stationary phase physiology and the role of Dps has been reviewed in this chapter. It gives a brief introduction of the background of the present study including the stationary phase response of bacteria and the significance of studying bacteria under stress as apart from ideal conditions of growth, which has been the conventional approach until recently. The advantages of using Mycobacterium smegmatis as a model system, and its starvation-induced stationary phase are also discussed. An introduction to the Dps proteins as a family of proteins branched off from ferritins and nucleoid proteins is explained. A brief summary of the ferritin and nucleoid proteins is given. Similarities connecting Dps to both these protein families is described. The review of earlier work done in our laboratory on the mycobacterial MsDps1 protein is also presented. Chapter 2: involves the study of the solution properties of the protein including its ability to oligomerize in vitro. The MsDps1 protein exists in two forms, a trimer and a dodecamer. The trimer form is a unique feature of the M.smegmatis homologue. Dps proteins from other sources are characteristically dodecameric. Earlier studies have shown that the trimeric form of the protein can perform ferroxidation while the dodecamer can bind to DNA. The dodecamer can also perform ferroxidation and accumulate the oxidized iron in its negatively charged core. In this chapter, we show that the trimeric form is extremely stable, under various conditions of pHs. The protein, when over expressed in M.smegmatis, also shows the presence of the trimer, thus ruling out the effect of heterologous expression of the protein in E.coli. We further report here, the ideal conditions for dodecamerisation of the protein from trimer to dodecamer, which binds to DNA. The dodecamer once formed is also highly stable and does not revert back to the trimeric form. The structural stability of the dodecamer is expected, as it is the fully functional form of the protein that physically protects the DNA from stress. However, the high stability of the trimeric form and its precise conversion into a stable dodecamer is intriguing. It is interesting to study the functional significance in vivo of the oligomerisation process in MsDps1. In addition, we looked at the effect of over expression of the protein on the overall phenotype of Mycobacterium smegmatis, as evidenced by the colony morphology and find no visible alteration, when compared with the wild type. Chapter 3: deals with a more detailed structural analysis of the MsDps1 protein. The role of N and C termini of the protein in maintaining a stable oligomeric structure is studied by making an N-terminal deletion mutant of the protein which is found to be unable to form a dodecamer in solution. On the other hand, MsDps1 with a 16 amino acid C-terminal deletion, MsDpsΔC16, is able to form stable oligomeric structures, when the N-terminal is intact. A previous deletion reported from our laboratory with 26 amino acids deleted from the C-terminal tail, called MsDpsΔC26 showed inability to form stable oligomeric structures in vitro. Putting together all the above results, a model for the interaction of the N and C-terminal tails of the protein in maintaining a stable dodecamer is presented. A demarcation of the C-terminal tail of MsDps1 into regions determining the oligomeric stability and DNA binding was also inferred. The MsDpsΔC16 protein, does not bind to DNA although it forms a stable dodecamer. A further deletion of 10 amino acids, as seen in a previously made construct, MsDpsΔC26 disrupts both the DNA binding as well as the oligomeric stability of the protein. Chapter 4: describes the discovery of a new homolog of the Dps protein in M.smegmatis. It was named as MsDps2. Bio-informatics analysis carried out on the complete genome data of Mycobacterium smegmatis yielded a second homologue of Dps in addition to the one already present and characterized. Interestingly, out of the 300 homogues of Dps found in bacteria, only 195 are present as single copies in a bacterium. The rest exist as more than one homologue in the same bacterial genome. The basic characterization of this new Dps homologue and its confirmation as a Dps family member is the focus of this chapter. Chapter 5: deals with the possible functions of the new protein MsDps2. Electron micrography shows that the purified protein forms stable nucleoprotein-like complexes. Over expression of the MsDps2 proteins presents no difference in the colony morphology when compared with the wild-type. Western analysis shows that the MsDps2 protein is not expressed under normal conditions tested for growth. MsDps1, on the other hand shows expression under conditions of starvation and osmotic stress, as has been established previously in the laboratory. Hence, it can be inferred that the new protein MsDps2 does not perform the same function as MsDps1. However, the in vivo function of this protein remains an important question to be addressed. The appearance of in vitro nucleoid structures involving this protein under the electron microscope, suggests a possible role for this protein in the formation and stabilization of the mycobacterial nucleoid. Indeed extensive evidence for the same exists for the E.coli protein. Chapter 6: describes the results obtained from the sequence comparison of MsDps2 with other Dps proteins listed in the TIGR database. ClustalW sequence analysis, followed by the construction of a phylogenetic tree using the MEGA software, suggests that the mycobacterial Dps proteins fall into two separate groups, represented by the MsDps1 and MsDps2 homologues from Mycobacterium smegmatis. Chapter 7 Summary and Conclusions: A summary of the work presented in the thesis is given followed by the appendix sections. Appendix 1 includes list and maps of plasmids used. Appendix 2 details the theoretical DNA and protein sequences of the recombinant clones generated in the study and theoretical physical and chemical properties of the proteins studied, as calculated with the Expasy Protparam software. Appendix 3 includes raw data obtained from the bio-informatic analysis of MsDps2, obtained using ClustalW analysis.

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.

Proteins are essential for the growth, survival and maintenance of the cell. Understanding the functional roles of proteins helps to decipher the working of macromolecular assemblies and cellular machinery of living organisms. A thorough investigation of the link between sequence, structure and function of proteins, helps in building a comprehensive understanding of the complex biological systems. Proteins have been observed to be composed of single and multiple domains. Analysis of proteins encoded in diverse genomes shows the ubiquitous nature of multi-domain proteins. Though the majority of eukaryotic proteins are multi-domain in nature, 3-D structures of only a small proportion of multi-domain proteins are known due to difficulties in crystallizing such proteins. While functions of individual domains are generally extensively studied, the complex interplay of functions of domains is not well understood for most multi-domain proteins. Paucity of structural and functional data, affects our understanding of the evolution of structure and function of multi-domain proteins. The broad objective of this thesis is to achieve an enhanced understanding of structure and function of protein domains by computational analysis of sequence and structural data. Special attention is paid in the first few chapters of this thesis on the multi-domain proteins. Classification of multi-domain proteins by implementation of an alignment-free sequence comparison method has been achieved in Chapters 2 and 3. Studies on organization, interactions and interdependence of domain-domain interactions in multi-domain proteins with respect to sequential separation between domains and N to C-terminal domain order have been described in Chapters 4 and 5. The functional and structural repertoire of organisms can be comprehensively studied and compared using functional and structural domain annotations. Chapter 6, 7 and 8 represent the proteome-wide structure and function comparisons of various pathogenic and non-pathogenic microorganisms. These comparisons help in identifying proteins implicated in virulence of the pathogen and thus predict putative targets for disease treatment and prevention. Chapter 1 forms an introduction to the main subject area of this thesis. Starting with describing protein structure and function, details of the four levels of hierarchical organization of protein structure have been provided, along with the databases that document protein sequences and structures. Classification of protein domains considered as the realm of function, structure and evolution has been described. The usefulness of classification of proteins at the domain level has been highlighted in terms of providing an enhanced understanding of protein structure and function and also their evolutionary relatedness. The details of structure, function and evolution of multi-domain proteins have also been outlined in chapter 1. ! Chapter 2 aims to achieve a biologically meaningful classification scheme for multi-domain protein sequences. The overall function of a multi-domain protein is determined by the functional and structural interplay of its constituent domains. Traditional sequence-based methods utilize only the domain-level information to classify proteins. This does not take into account the contributions of accessory domains and linker regions towards the overall function of a multi-domain protein. An alignment-free protein sequence comparison tool, CLAP (CLAssification of Proteins) previously developed in this laboratory, was assessed and improved when the author joined the group. CLAP was developed especially to handle multi-domain protein sequences without a requirement of defining domain boundaries and sequential order of domains (domain architecture). ! The working principle of CLAP involves comparison of all against all windows of 5-residue sequence patterns between two protein sequences. The sequences compared could be full-length comprising of all the domains in the two proteins. This compilation of comparison is represented as the Local Matching Scores (LMS) between protein sequences (nslab.iisc.ernet.in/clap/). It has been previously shown that the execution time of CLAP is ~7 times faster than other protein sequence comparison methods that employ alignment of sequences. In Chapter 2, CLAP-based classification has been carried out on two test datasets of proteins containing (i) Tyrosine phosphatase domain family and (ii) SH3-domain family. The former dataset comprises both single and multi-domain proteins that sometimes consist of domain repeats of the tyrosine phosphatase domain. The latter dataset consists only of multi-domain proteins with one copy of the SH3-domain. At the domain-level CLAP-based classification scheme resulted in a clustering similar to that obtained from an alignment-based method, ClustalW. CLAP-based clusters obtained for full-length datasets were shown to comprise of proteins with similar functions and domain architectures. Hence, a protein classification scheme is shown to work efficiently that is independent of domain definitions and requires only the full-length amino acid sequences as input.! Chapter 3 explores the limitations of CLAP in large-scale protein sequence comparisons. The potential advantages of full-length protein sequence classification, combined with the availability of the alignment-free sequence comparison tool, CLAP, motivated the conceptualization of full-length sequence classification of the entire protein repertoire. Before undertaking this mammoth task, working of CLAP was tested for a large dataset of 239,461 protein sequences. Chapter 3 discusses the technical details of computation, storage and retrieval of CLAP scores for a large dataset in a feasible timeframe. CLAP scores were examined for protein pairs of same domain architecture and ~22% of these showed 0 CLAP similarity scores. This led to investigation of the sensitivity of CLAP with respect to sequence divergence. Several test datasets of proteins belonging to the same SCOP fold were constructed and CLAP-based classification of these proteins was examined at inter and intra-SCOP family level. CLAP was successful in efficiently clustering evolutionary related proteins (defined as proteins within the same SCOP superfamily) if their sequence identity >35%. At lower sequence identities, CLAP fails to recognize any evolutionary relatedness. Another test dataset consisting of two-domain proteins with domain order swapped was constructed. Domain order swap refers to domain architectures of type AB and BA, consisting of domains A and B. A condition that the sequence identities of homologous domains were greater than 35% was imposed. CLAP could effectively cluster together proteins of the same domain architectures in this case. Thus, the sequence identity threshold of 35% at the domain-level improves the accuracy of CLAP. The analysis also showed that for highly divergent sequences, the expectation of 5-residue pattern match was likely a stringent criterion. Thus, a modification in the 5-residue identical pattern match criterion, by considering even similar residue and gaps within matched patterns may be required to effectuate CLAP-based clustering of remotely related protein sequences. Thus, this study highlights the limitations of CLAP with respect to large-scale analysis and its sensitivity to sequence divergence. ! Chapters 4 and 5 discuss the computational analysis of inter-domain interactions with respect to sequential distance and domain order. Knowledge of domain composition and 3-D structures of individual domains in a multi-domain protein may not be sufficient to predict the tertiary structure of the multi-domain protein. Substantial information about the nature of domain-domain interfaces helps in prediction of the tertiary as well as the quaternary structure of a protein. Therefore, chapter 4 explores the possible relationship between the sequential distance separating two domains in a multi-domain protein and the extent of their interaction. With increasing sequential separation between any two domains, the extent of inter-domain interactions showed a gradual decrease. The trend was more apparent when sequential separation between domains is measured in terms of number of intervening domains. Irrespective of the linker length, extensive interactions were seen more often between contiguous domains than between non-contiguous domains. Contiguous domains show a broader interface area and lower proportion of non-interacting domains (interface area: 0 Å2 to - 4400 Å2, 2.3% non-interacting domains) than non-contiguous domains (interface area: 0 Å2 to - 2000 Å2, 34.7% non-interacting domains). Additionally, as inter-protein interactions are mediated through constituent domains, rules of protein-protein interactions were applied to domain-domain interactions. Tight binding between domains is denoted as putative permanent domain-domain interactions and domains that may dissociate and associate with relatively weak interactions to regulate functional activity are denoted as putative transient domain-domain interactions. An interface area threshold of 600 Å2 was utilized as a binary classifier to distinguish between putative permanent and putative transient domain-domain interactions. Therefore, the state of interaction of a domain pair is defined as either putative permanent or putative transient interaction. Contiguous domains showed a predominance of putative permanent nature of inter-domain interface, whereas non-contiguous domains showed a prevalence of putative transient interfaces. The state of interaction of various SCOP superfamily pairs was studied across different proteins in the dataset. SCOP superfamily pairs mostly showed a conserved state of interaction, i.e. either putative permanent or putative transient in all their occurrences across different proteins. Thus, it is noted that contiguous domains interact extensively more often than non-contiguous domains and specific superfamily pairs tend to interact in a conserved manner. In conclusion, a combination of interface area and other inter-domain properties along with experimental validation will help strengthen the binary classification scheme of putative permanent and transient domain-domain interactions.! Chapter 5 provides structural analysis of domain pairs occurring in different sequential domain orders in mutli-domain proteins. The function and regulation of a multi-domain protein is predominantly determined by the domain-domain interactions. These in turn are influenced by the sequential order of domains in a protein. With domains defined using evolutionary and structural relatedness (SCOP superfamily), their conservation of structure and function was studied across domain order reversal. A domain order reversal indicates different sequential orders of the concerned domains, which may be identified in proteins of same or different domain compositions. Domain order reversals of domains A and B can be indicated in protein pair consisting of the domain architectures xAxBx and xBxAx, where x indicates 0 or more domains. A total of 161 pairs of domain order reversals were identified in 77 pairs of PDB entries. For most of the comparisons between proteins with different domain composition and architecture, large differences in the relative spatial orientation of domains were observed. Although preservation of state of interaction was observed for ~75% of the comparisons, none of the inter-domain interfaces of domains in different order displayed high interface similarity. These domain order reversals in multi-domain proteins are contributed by a limited number of 15 SCOP superfamilies. Majority of the superfamilies undergoing order reversal either function as transporters or regulatory domains and very few are enzymes. A higher proportion of domain order reversals were observed in domains separated by 0 or 1 domains than those separated by more than 1 domain. A thorough analysis of various structural features of domains undergoing order reversal indicates that only one order of domains is strongly preferred over all possible orders. This may be due to either evolutionary selection of one of the orders and its conservation throughout generations, or the fact that domain order reversals rarely conserve the interface between the domains. Further studies (Chapters 6 to 8) utilize the available computational techniques for structural and functional annotation of proteins encoded in a few bacterial genomes. Based on these annotations, proteome-wide structure and function comparisons were performed between two sets of pathogenic and non-pathogenic bacteria. The first study compares the pathogenic Mycobacterium tuberculosis to the closely related organism Mycobacterium smegmatis which is non-pathogenic. The second study primarily identified biologically feasible host-pathogen interactions between the human host and the pathogen Leptospira interrogans and also compared leptospiral-host interactions of the pathogenic Leptospira interrogans and of the saprophytic Leptospira biflexa with the human host. Chapter 6 describes the function and structure annotation of proteins encoded in the genome of M. smegmatis MC2-155. M. smegmatis is a widely used model organism for understanding the pathophysiology of M. tuberculosis, the primary causative agent of tuberculosis in humans. M. smegmatis and M. tuberculosis species of the mycobacterial genus share several features like a similar cell-wall architecture, the ability to oxidise carbon monoxide aerobically and share a huge number of homologues. These features render M. smegmatis particularly useful in identifying critical cellular pathways of M. tuberculosis to inhibit its growth in the human host. In spite of the similarities between M. smegmatis and M. tuberculosis, there are stark differences between the two due to their diverse niche and lifestyle. While there are innumerable studies reporting the structure, function and interaction properties of M. tuberculosis proteins, there is a lack of high quality annotation of M. smegmatis proteins. This makes the understanding of the biology of M. smegmatis extremely important for investigating its competence as a good model organism for M. tuberculosis. With the implementation of available sequence and structural profile-based search procedures, functional and structural characterization could be achieved for ~92% of the M. smegmatis proteome. Structural and functional domain definitions were obtained for a total of 5695 of 6717 proteins in M. smegmatis. Residue coverage >70% was achieved for 4567 proteins, which constitute ~68% of the proteome. Domain unassigned regions more than 30 residues were assessed for their potential to be associated to a domain. For 1022 proteins with no recognizable domains, putative structural and functional information was inferred for 328 proteins by the use of distance relationship detection and fold recognition methods. Although 916 sequences of 1022 proteins with no recognizable domains were found to be specific to M. smegmatis species, 98 of these are specific to its MC2-155 strain. Of the 1828 M. smegmatis proteins classified as conserved hypothetical proteins, 1038 proteins were successfully characterized. A total of 33 Domains of Unknown Function (DUFs) occurring in M. smegmatis could be associated to structural domains. A high representation of the tetR and GntR family of transcription regulators was noted in the functional repertoire of M. smegmatis proteome. As M. smegmatis is a soil-dwelling bacterium, transcriptional regulators are crucial for helping it to adapt and survive the environmental stress. Similarly, the ABC transporter and MFS domain families are highly represented in the M. smegmatis proteome. These are important in enabling the bacteria to uptake carbohydrate from diverse environmental sources. A lower number of virulent proteins were identified in M. smegmatis, which justifies its non-pathogenicity. Thus, a detailed functional and structural annotation of the M. smegmatis proteome was achieved in Chapter 6. Chapter 7 delineates the similarities and difference in the structure and function of proteins encoded in the genomes of the pathogenic M. tuberculosis and the non-pathogenic M. smegmatis. The protocol employed in Chapter 6 to achieve the proteome-wide structure and function annotation of M. smegmatis was also applied to M. tuberculosis proteome in Chapter 7. The number of proteins encoded by the genome of M. smegmatis strain MC2-155 (6717 proteins) is comparatively higher than that in M. tuberculosis strain H37Rv (4018 proteins). A total of 2720 high confidence orthologues sharing ≥30% sequence identity were identified in M. tuberculosis with respect to M. smegmatis. Based on the orthologue information, specific functional clusters, essential proteins, metabolic pathways, transporters and toxin-antitoxin systems of M. tuberculosis were inspected for conservation in M. smegmatis. Among the several categories analysed, 53 metabolic pathways, 44 membrane transporter proteins belonging to secondary transporters and ATP-dependent transporter classes, 73 toxin-antitoxin systems, 23 M. tuberculosis-specific targets, 10 broad-spectrum targets and 34 targets implicated in persistence of M. tuberculosis could not detect any orthologues in M. smegmatis. Several of the MFS superfamily transporters act as drug efflux pumps and are hence associated with drug resistance in M. tuberculosis. The relative abundances of MFS and ABC superfamily transporters are higher in M. smegmatis than in M. tuberculosis. As these transporters are involved in carbohydrate uptake, their higher representation in M. smegmatis than in M. tuberculosis highlights the lack of proficiency of M. tuberculosis to assimilate diverse carbon sources. In the case of porins, MspA-like and OmpA-like porins are selectively present in either M. smegmatis or M. tuberculosis. These differences help to elucidate protein clusters for which M. smegmatis may not be the best model organism to study M. tuberculosis proteins.! At the domain-level, ATP-binding domain of ABC transporters, tetracycline transcriptional regulator (tetR) domain family, major facilitator superfamily (MFS) domain family, AMP-binding domain family and enoyl-CoA hydrolase domain family are highly represented in both M. smegmatis and M. tuberculosis proteomes. These domains play an essential role in the carbohydrate uptake systems and drug-efflux pumps among other diverse functions in mycobacteria. There are several differentially represented domain families in M. tuberculosis and M. smegmatis. For example, the pentapeptide-repeat domain, PE, PPE and PIN domains although abundantly present in M. tuberculosis, are very rare in M. smegmatis. Therefore, such uniquely or differentially represented functional and structural domains in M. tuberculosis as compared to M. smegmatis may be linked to pathogenicity or adaptation of M. tuberculosis in the host. Hence, major differences between M. tuberculosis and M. smegmatis were identified, not only in terms of domain populations but also in terms of domain combinations. Thus, Chapter 7 highlights the similarities and differences between M. smegmatis and M. tuberculosis proteomes in terms of structure and function. These differences provide an understanding of selective utilization of M. smegmatis as a model organism to study M. tuberculosis. ! In Chapter 8, computational tools have been employed to predict biologically feasible host-pathogen interactions between the human host and the pathogenic, Leptospira interrogans. Sensitive profile-based search procedures were used to specifically identify practical drug targets in the genome of Leptospira interrogans, the causative agent of the globally widespread zoonotic disease, Leptospirosis. Traditionally, the genus Leptospira is classified into two species complex- the pathogenic L. interrogans and the non-pathogenic saprophyte L. biflexa. The pathogen gains entry into the human host through direct or indirect contact with fluids of infected animals. Several ambiguities exist in the understanding of L. interrogans pathogenesis. An integration of multiple computational approaches guided by experimentally derived protein-protein interactions, was utilized for recognition of host-pathogen protein-protein interactions. The initial step involved the identification of similarities of host and L. interrogans proteins with crystal structures of experimentally known transient protein-protein complexes. Further, conservation of interfacial nature was used to obtain high confidence predictions for putative host-pathogen protein-protein interactions. These predictions were subjected to further selection based on subcellular localization of proteins of the human host and L. interrogans, and tissue-specific expression profiles of the host proteins. A total of 49 protein-protein interactions mediated by 24 L. interrogans proteins and 17 host proteins were identified and these may be subjected to further experimental investigations to assess their in vivo relevance. The functional relevance of similarities and differences between the pathogenic and non-pathogenic leptospires in terms of interactions with the host has also been explored. For this, protein-protein interactions across human host and the non-pathogenic saprophyte L. biflexa were also predicted. Nearly 39 leptospiral-host interactions were recognized to be similar across both the pathogen and saprophyte in the context of processes that influence the host. The overlapping leptospiral-host interactions of L. interrogans and L. biflexa proteins with the human host proteins are primarily associated with establishment of its entry into the human host. These include adhesion of the leptospiral proteins to host cells, survival in host environment such as iron acquisition and binding to components of extracellular matrix and plasma. The disjoint sets of leptospiral-host interactions are species-specific interactions, more importantly indicative of the establishment of infection by L. interrogans in the human host and immune clearance of L. biflexa by the human host. With respect to L. interrogans, these specific interactions include interference with blood coagulation cascade and dissemination to target organs by means of disruption of cell junction assembly. On the other hand, species-specific interactions of L. biflexa proteins include those with components of host immune system. ! In spite of the limited availability of experimental evidence, these help in identifying functionally relevant interactions between host and pathogen by integrating multiple lines of evidence. Thus, inferences from computational prediction of host-pathogen interactions act as guidelines for experimental studies investigating the in vivo relevance of these predicted protein-protein interactions. This will further help in developing effective measures for treatment and disease prevention. In summary, Chapters 2 and 3 describe the implementation, advantages and limitations of the alignment-free full-length sequence comparison method, CLAP. Chapter 4 and 5 are dedicated to understand the domain-domain interactions in multi-domain protein sequences and structures. In Chapters 6, 7 and 8 the computational analyses of the mycobacterial species and leptospiral species helped in an enhanced understanding of the functional repertoire of these bacteria. These studies were undertaken by utilizing the biological sequence data available in public databases and implementation of powerful homology-detection techniques. The supplemental data associated with the chapters is provided in a compact disc attached with this thesis.!

The eubacterial genome is maintained in a negatively supercoiled state which facilitates its compaction and storage in a small cellular space. Genome supercoiling can potentially influence various DNA transaction processes such as DNA replication, transcription, recombination, chromosome segregation and gene expression. Alterations in the genome supercoiling have global impact on the gene expression and cell growth. Inside the cell, the genome supercoiling is maintained judiciously by DNA topoisomerases to optimize DNA transaction processes. These enzymes solve the problems associated with the DNA topology by cutting and rejoining the DNA. Due to their essential cellular functions and global regulatory roles, DNA topoisomerases are fascinating candidates for the study of the effect of topology perturbation on a global scale. Genus Mycobacterium includes a large number of species including the well-studied Mycobacterium smegmatis (Msm) as well as various pathogens–Mycobacterium leprae, Mycobacterium abscessus and Mycobacterium tuberculosis (Mtb), the last one being the causative agent of the deadly disease Tuberculosis (TB), which claims millions of lives worldwide annually. The organism combats various stresses and alterations in its environment during the pathogenesis and virulence. During such adaptation, various metabolic pathways and transcriptional networks are reconfigured. Considering their global regulatory role, DNA topoisomerases and genome supercoiling may have an influence on the mycobacterial survival and adaptation. Biochemical studies from our laboratory have revealed several distinctive characteristics of mycobacterial DNA gyrase and topoisomerase I. DNA gyrase has been shown to be a strong decatenase apart from its characteristic supercoiling activity. Similarly, the mycobacterial topoisomerase I exhibits several distinct features such as the ability to bind both single- as well as double-stranded DNA, site specific DNA binding and absence of Zn2+ fingers required for DNA relaxation activity in other Type I enzymes. Although, efforts have been made to understand the biochemistry and mechanism of mycobacterial topoisomerases, in vivo significance and regulatory roles remain to be explored. The present study is aimed at understanding the mechanism, in vivo functions, regulation and genome wide distribution of mycobacterial topoisomerases. Chapter 1 of the thesis provides introduction on DNA topology, genome supercoiling and DNA topoisomerases. The importance of genome supercoiling and its regulatory roles has been discussed. Further, the regulation of topoisomerase activity and the role in the virulence gene regulation is described. Finally, a brief overview of Mtb genome, disease epidemiology, and pathogenesis is presented along with the description of the work on mycobacterial topoisomerases. In Chapter 2, the studies are directed to understand the DNA relaxation mechanism of mycobacterial Type IA topoisomerase which lack Zn2+ fingers. The N-terminal domain (NTD) of the Type IA topoisomerases harbor DNA cleavage and religation activities, but the carboxyl terminal domain (CTD) is highly diverse. Most of these enzymes contain a varied number of Zn2+ finger motifs in the CTD. The Zn2+ finger motifs were found to be essential in Escherichia coli TopoI but dispensable in the Thermotoga maritima enzyme. Although, the CTD of mycobacterial TopoI lacks Zn2+ fingers, it is indispensable for the DNA relaxation activity of the enzyme. The divergent CTD harbors three stretches of basic amino acids needed for the strand passage step of the reaction as demonstrated by a new assay. It is elucidated that the basic amino acids constitute an independent DNA-binding site apart from the NTD and assist the simultaneous binding of two molecules of DNA to the enzyme, as required during the strand passage step of the catalysis. It is hypothesized that the loss of Zn2+ fingers from the mycobacterial TopoI could be associated with Zn2+ export and homeostasis. In Chapter 3, the studies have been carried out to understand the regulation of mycobacterial TopoI. Identification of Transcription Start Site (TSS) suggested the presence of multiple promoters which were found to be sensitive to genome supercoiling. The promoter activity was found to be specific to mycobacteria as the promoter(s) did not show activity in E. coli. Analysis of the putative promoter elements suggested the non-optimal spacing of the putative -35 and -10 promoter elements indicating the involvement of supercoiling for the optimal alignment during the transcription. Moreover, upon genome relaxation, the occupancy of RNA polymerase was decreased on the promoter region of topoI gene implicating the role of DNA topology in the Supercoiling Sensitive Transcription (SST) of TopoI gene from mycobacteria. The involvement of intrinsic promoter elements in such regulation has been proposed. In Chapter 4, the importance of TopoI for the Mtb growth and survival has been validated. Mtb contains only one Type IA topoisomerase (Rv3646c), a sole DNA relaxase in the cell, and hence a candidate drug target. To validate the essentiality of Mtb topoisomerase I for bacterial growth and survival, conditionally regulated strain of topoI in Mtb was generated. The conditional knockdown mutant exhibited delayed growth on agar plate and in liquid culture the growth was drastically impaired when TopoI expression was suppressed. Additionally, novobiocin and isoniazid showed enhanced inhibitory potential against the conditional mutant. Analysis of the nucleoid revealed its altered architecture upon TopoI depletion. These studies establish the essentiality of TopoI for the Mtb growth and open up new avenues for targeting the enzyme. In Chapter 5, the influence of perturbation of TopoI activity on the Msm growth and physiology has been studied. Notably, Msm contains an additional DNA relaxation enzyme– an atypical Type II topoisomerase TopoNM. The TopoI depleted strain exhibited slow growth and drastic change in phenotypic characters. Moreover, the genome architecture was disturbed upon depletion of TopoI. Further, the proteomic and transcript analysis indicated the altered expression of the genes involved in central metabolic pathways and core DNA transaction processes in the mutant. The study suggests the importance of TopoI in the maintenance of cellular phenotype and growth characteristics of fast growing mycobacteria having additional topoisomerases. In Chapter 6, the ChIP-Seq method is used to decipher the genome wide distribution of the DNA gyrase, topoisomerase I (TopoI) and RNA polymerase (RNAP). Analysis of the ChIP-Seq data revealed the genome wide distribution of topoisomerases along with RNAP. Importantly, the signals of topoisomerases and RNAP was found to be co-localized on the genome suggesting their functional association in the twin supercoiled domain model, originally proposed by J. C. Wang. Closer inspection of the occupancy profile of topoisomerases and RNAP on transcription units (TUs) revealed their co-existence validating the topoisomerases occupancy within the twin supercoiled domains. On the genomic scale, the distribution of topoisomerases was found to be more at the ori domains compared to the ter domain which appeared to be an attribute of higher torsional stress at ori. The reappearance of gyrase binding at the ter domain (and the lack of it in the ter domain of E. coli) suggests a role for Mtb gyrase in the decatenation of the daughter chromosomes at the end of replication. The eubacterial genome is maintained in a negatively supercoiled state which facilitates its compaction and storage in a small cellular space. Genome supercoiling can potentially influence various DNA transaction processes such as DNA replication, transcription, recombination, chromosome segregation and gene expression. Alterations in the genome supercoiling have global impact on the gene expression and cell growth. Inside the cell, the genome supercoiling is maintained judiciously by DNA topoisomerases to optimize DNA transaction processes. These enzymes solve the problems associated with the DNA topology by cutting and rejoining the DNA. Due to their essential cellular functions and global regulatory roles, DNA topoisomerases are fascinating candidates for the study of the effect of topology perturbation on a global scale. Genus Mycobacterium includes a large number of species including the well-studied Mycobacterium smegmatis (Msm) as well as various pathogens–Mycobacterium leprae, Mycobacterium abscessus and Mycobacterium tuberculosis (Mtb), the last one being the causative agent of the deadly disease Tuberculosis (TB), which claims millions of lives worldwide annually. The organism combats various stresses and alterations in its environment during the pathogenesis and virulence. During such adaptation, various metabolic pathways and transcriptional networks are reconfigured. Considering their global regulatory role, DNA topoisomerases and genome supercoiling may have an influence on the mycobacterial survival and adaptation. Biochemical studies from our laboratory have revealed several distinctive characteristics of mycobacterial DNA gyrase and topoisomerase I. DNA gyrase has been shown to be a strong decatenase apart from its characteristic supercoiling activity. Similarly, the mycobacterial topoisomerase I exhibits several distinct features such as the ability to bind both single- as well as double-stranded DNA, site specific DNA binding and absence of Zn2+ fingers required for DNA relaxation activity in other Type I enzymes. Although, efforts have been made to understand the biochemistry and mechanism of mycobacterial topoisomerases, in vivo significance and regulatory roles remain to be explored. The present study is aimed at understanding the mechanism, in vivo functions, regulation and genome wide distribution of mycobacterial topoisomerases. Chapter 1 of the thesis provides introduction on DNA topology, genome supercoiling and DNA topoisomerases. The importance of genome supercoiling and its regulatory roles has been discussed. Further, the regulation of topoisomerase activity and the role in the virulence gene regulation is described. Finally, a brief overview of Mtb genome, disease epidemiology, and pathogenesis is presented along with the description of the work on mycobacterial topoisomerases. In Chapter 2, the studies are directed to understand the DNA relaxation mechanism of mycobacterial Type IA topoisomerase which lack Zn2+ fingers. The N-terminal domain (NTD) of the Type IA topoisomerases harbor DNA cleavage and religation activities, but the carboxyl terminal domain (CTD) is highly diverse. Most of these enzymes contain a varied number of Zn2+ finger motifs in the CTD. The Zn2+ finger motifs were found to be essential in Escherichia coli TopoI but dispensable in the Thermotoga maritima enzyme. Although, the CTD of mycobacterial TopoI lacks Zn2+ fingers, it is indispensable for the DNA relaxation activity of the enzyme. The divergent CTD harbors three stretches of basic amino acids needed for the strand passage step of the reaction as demonstrated by a new assay. It is elucidated that the basic amino acids constitute an independent DNA-binding site apart from the NTD and assist the simultaneous binding of two molecules of DNA to the enzyme, as required during the strand passage step of the catalysis. It is hypothesized that the loss of Zn2+ fingers from the mycobacterial TopoI could be associated with Zn2+ export and homeostasis. In Chapter 3, the studies have been carried out to understand the regulation of mycobacterial TopoI. Identification of Transcription Start Site (TSS) suggested the presence of multiple promoters which were found to be sensitive to genome supercoiling. The promoter activity was found to be specific to mycobacteria as the promoter(s) did not show activity in E. coli. Analysis of the putative promoter elements suggested the non-optimal spacing of the putative -35 and -10 promoter elements indicating the involvement of supercoiling for the optimal alignment during the transcription. Moreover, upon genome relaxation, the occupancy of RNA polymerase was decreased on the promoter region of topoI gene implicating the role of DNA topology in the Supercoiling Sensitive Transcription (SST) of TopoI gene from mycobacteria. The involvement of intrinsic promoter elements in such regulation has been proposed. In Chapter 4, the importance of TopoI for the Mtb growth and survival has been validated. Mtb contains only one Type IA topoisomerase (Rv3646c), a sole DNA relaxase in the cell, and hence a candidate drug target. To validate the essentiality of Mtb topoisomerase I for bacterial growth and survival, conditionally regulated strain of topoI in Mtb was generated. The conditional knockdown mutant exhibited delayed growth on agar plate and in liquid culture the growth was drastically impaired when TopoI expression was suppressed. Additionally, novobiocin and isoniazid showed enhanced inhibitory potential against the conditional mutant. Analysis of the nucleoid revealed its altered architecture upon TopoI depletion. These studies establish the essentiality of TopoI for the Mtb growth and open up new avenues for targeting the enzyme. In Chapter 5, the influence of perturbation of TopoI activity on the Msm growth and physiology has been studied. Notably, Msm contains an additional DNA relaxation enzyme– an atypical Type II topoisomerase TopoNM. The TopoI depleted strain exhibited slow growth and drastic change in phenotypic characters. Moreover, the genome architecture was disturbed upon depletion of TopoI. Further, the proteomic and transcript analysis indicated the altered expression of the genes involved in central metabolic pathways and core DNA transaction processes in the mutant. The study suggests the importance of TopoI in the maintenance of cellular phenotype and growth characteristics of fast growing mycobacteria having additional topoisomerases. In Chapter 6, the ChIP-Seq method is used to decipher the genome wide distribution of the DNA gyrase, topoisomerase I (TopoI) and RNA polymerase (RNAP). Analysis of the ChIP-Seq data revealed the genome wide distribution of topoisomerases along with RNAP. Importantly, the signals of topoisomerases and RNAP was found to be co-localized on the genome suggesting their functional association in the twin supercoiled domain model, originally proposed by J. C. Wang. Closer inspection of the occupancy profile of topoisomerases and RNAP on transcription units (TUs) revealed their co-existence validating the topoisomerases occupancy within the twin supercoiled domains. On the genomic scale, the distribution of topoisomerases was found to be more at the ori domains compared to the ter domain which appeared to be an attribute of higher torsional stress at ori. The reappearance of gyrase binding at the ter domain (and the lack of it in the ter domain of E. coli) suggests a role for Mtb gyrase in the decatenation of the daughter chromosomes at the end of replication.

The three-dimensional structures of biological macromolecules and molecular assemblies are becoming increasingly important with the changing methodologies of drug discovery. The structures aid in understanding of protein function at the molecular level: be it a macromolecular assembly, a cytosolic enzyme or an intermembrane receptor molecule. X-ray crystallography is the most powerful technique to obtain the three-dimensional structures of such molecules at or near atomic resolution. With such a wide-spread importance, crystallography is an integral part of structural biology and also of the current drug discovery programs. The present thesis mainly deals with application of the crystallographic techniques for understanding the structure and function of adenylosuccinate lyase (ASL) from bacterial pathogens Salmonella typhimurium and Mycobacterium tuberculosis as well as its non-pathogenic counterpart Mycobacterium smegmatis. Studies were also carried out to understand the structure-function relationship of the protease in the plant virus Sesbania Mosaic Virus (SeMV). The thesis has been divided into six chapters. The first chapter contains an introduction to nucleotide synthesis and ASL superfamily of enzymes known as the aspartase/fumarase superfamily based on the published literature. Chapter 2 provides the details of the techniques used for the investigations presented in this thesis. Chapters 3-5 deal with the structural and functional studies carried out on ASL from the three bacterial organisms. Chapter 6 deals with the simulation studies carried out on SeMV protease. Mechanism and importance of nucleotide synthesis is introduced in Chapter 1, with special emphasis on purine de novo and salvage pathways. ASL is introduced as an important enzyme for purine synthesis. Its superfamily, the aspartase/fumarase superfamily of enzymes is described in detail with respect to its structure, function and pathophysiology. Objectives of the present study are outlined towards the end of the chapter. The experimental and computational techniques utilized during the course of my research are described in Chapter 2. These techniques include gene cloning, protein expression and purification, kinetic and biophysical characterization of proteins, crystallization, X-ray diffraction, data collection and processing, structure solution, refinement, model building, validation and structural analysis, phylogenetic studies, molecular docking and molecular dynamic simulation studies. Adenylosuccinate lyase is an important enzyme participating in purine biosynthesis. With the emergence of drug resistant variants of various pathogens, ASL has been recognized as a drug target against microbial infections. Chapter 3 deals with the structural and functional characterization of ASL from Salmonella typhimurium. Two constructs of the StASL gene were cloned and expressed leading to the purification of truncated (residues 1-366) and full-length (residues 1-456) polypeptides. Crystallization of the two polypeptides resulted in three independent structures. The full-length structure was very similar to the E. coli ASL structure consistent with 95% amino acid sequence identity between the two polypeptides. However, the truncated structures showed large distortions, especially of the active site residues, accounting for the catalytic inactivity of the truncated polypeptide in spite of retaining all residues considered important for function. The full-length ASL was catalytically active. A unique feature observed in StASL, not reported in other ASLs, was its allosteric regulation by the substrate. Kinetic studies also revealed hysteretic behavior of the enzyme. The electron density map of the full-length structure showed two novel densities on the molecular 2-fold axis into each of which a molecule of cadavarine could be fitted. Docking studies revealed a ligand-binding site at the inter-subunit interface between the two observed densities which might represent a potential allosteric site. Combining the structural and kinetic results, a possible morpheein model of allosteric regulation of StASL was hypothesized. Chapter 4 deals with the crystallographic and kinetic investigations on ASL from Mycobacterium smegmatis and Mycobacterium tuberculosis. MsASL and MtbASL were cloned, purified and crystallized. The X-ray crystal structure of MsASL was determined at 2.16 Å resolution. It is the first report of an apo-ASL structure with a partially ordered active site C3 loop. Diffracting crystals of MtbASL could not be obtained and a model for its structure was derived using MsASL as a template. Most of the active site residues were found to be conserved with the exception of Ser 148 and Gly 319 of MsASL. Ser 148 is structurally equivalent to a threonine in most other ASLs. Gly 319 is replaced by an arginine residue in most ASLs. The two enzymes were catalytically much less active when compared to ASLs from other organisms. Arg319Gly substitution and reduced flexibility of the C3 loop might account for the low catalytic activity of mycobacterial ASLs. The low activity is consistent with the slow growth rate of Mycobacteria, their high GC containing genomes as well as with their dependence on other salvage pathways for the supply of purine nucleotides. Chapter 5 deals with the identification of the catalytic residues important for ASL catalysis in view of the earlier conflicting reports on the identity of these residues. pH-dependent kinetic studies were performed on full-length StASL. The theory behind these studies is also described in this chapter. Two residues with pKa values of 6.6 and 7.7 were identified as essential for the enzymatic activity. These results were interpreted along with structural comparison of MsASL and other superfamily enzymes with ordered C3 loops. They suggest that His 149 and either Lys 285 or Ser 279 of MsASL are the residues most likely to function as the catalytic acid and base, respectively. The final Chapter 6 of the thesis deals with the structural and dynamic studies carried out on Sesbania mosaic virus (SeMV) protease. The chapter begins with a general introduction to viruses, followed by a brief summary of SeMV. The goal of this study is to understand the interactions between the protease and VPg at a structural level using the information available from biochemical studies. Crystallographic studies initiated for the mutant H275APro and Y315APro were unsuccessful due to the insolubility of the proteins. Co-crystallization or soaking experiments of wild type protease with cognate peptides were unsuccessful due to the inability of the enzyme to bind to its substrates in the absence of VPg. Higher resolution structure of wild type protease did not yield any new insights when compared to the earlier reported structure determined at a lower resolution. In the absence of structural insights, molecular dynamic simulations were carried out on wild type protease structure and in silico generated mutants using GROMACS package. The studies showed the importance of flipping of residue Phe 301 and opening-closing of the loop region corresponding to residues 301-308 for the catalytic mechanism. The thesis concludes with Future perspectives of the various studies carried out on ASL and SeMV protease. The atomic coordinates determined from the work presented in this thesis have been deposited in the PDB and the assigned PDB codes are reported in the respective chapters. Publications cited in the thesis are listed in the Bibliography section.

This thesis is concerned with the first ever X-ray crystallographic and complimentary solution studies on mycobacterial lectins. Lectins, described as multivalent carbohydrate binding proteins of non-immune origin, are found in all kingdoms of life. As explained in the introductory chapter, those from plants and animals are the best characterized in terms of structure and function. Although not that extensive, important studies have been carried out on viral, fungal and parasite lectins as well. Bacterial lectins studied so far can be classified in to fimbrial, surface and secretory (or toxic). Applications of lectins include blood typing, cell separation and purification of glycoconjugates, mitogenic stimulation of lymphocytes, mapping of neuronal pathways and drug targeting and delivery. The work reported in the thesis lies at the intersection of two major long range programs in this laboratory, one on lectins and the other on mycobacterial proteins. Three putative lectins Rv1419 and Rv2813 from M. tuberculosis and MSMEG_3662 from M. smegmatis were chosen for exploratory studies on the basis of preliminary genomic searches. Exploratory studies on Rv1419, Rv2813 and MSMEG_3662 are described in the second chapter. MSMEG_3662 contains two domains, a LysM domain and a lectin domain (MSL) connected by a long polypeptide chain. The two M. tuberculosis proteins, full length MSMEG_3662 and MSL were cloned, expressed, purified and characterized. Rv2813 did not show any appreciable agglutination activity. It showed ATPase activity. Clearly the protein was not a lectin. Rv1419, full length MSMEG_3662 and MSL exhibited lectin characteristics. Among them, Rv1419 and MSL could be crystallized. Preliminary X-ray diffraction studies on them were carried out. Rv1419 could be successfully expressed only once. However, that was enough for the determination of crystal structure and the glycan array analysis of the lectin (Chapter 3). The monomeric lectin has a β-trefoil fold. It has high affinity for LacNAc and its Neu5Ac derivatives. Modeling studies using complexes of homologous structures, led to the identification of two carbohydrate binding sites on the lectins. Sequence comparisons of Rv1419 with homologous proteins with known structures and phylogenetic analysis involving them provide interesting insights into the relationship among trefoil lectins from different sources. X-ray crystal structure analysis of MSL and its complexes with mannose and methyl-α-mannose, the first comprehensive effort of its kind on a mycobacterial lectin, reveals a structure very similar to β-prism II fold lectins from plant sources, but with extensive unprecedented domain swapping in dimer formation (Chapter 4). The two subunits in a dimer often show small differences in structure, but the two domains, not always related by 2-fold symmetry, have the same structure. Each domain carries three sugar-binding sites, similar to those in plant lectins, one on each Greek key motif. The occurrence of β-prism II fold lectins in bacteria, with characteristics similar to those from plants, indicates that this family of lectins is of ancient origin and had evolved into a mature system before bacteria and plants diverged. In plants, the number of binding sites per domain varies between one and three, whereas the number is two in the recently reported lectin domains from Pseudomonas putida and Pseudomonas aeruginosa. An analysis of the sequences of the lectins and the lectin domains shows that the level of sequence similarity among the three Greek keys in each domain has a correlation with the number of binding sites in it. Furthermore, sequence conservation among the lectins from different species is the highest for that Greek key which carries a binding site in all of them. Thus, it would appear that carbohydrate binding influences the course of the evolution of the lectin. LysM domains have been recognized in bacteria and eukaryotes as carbohydrate-binding protein modules, but the mechanism of their binding to chitooligosaccharides is underexplored. Binding of a full length MSMEG_3662 containing LysM and lectin (MSL) domains to chitooligosaccharides has been studied using isothermal titration calorimetry and fluorescence titration (Chapter 5). This investigation demonstrates the presence of two binding sites of non-identical affinities per dimeric MSL-LysM molecule. Affinity of the molecule for chitooligosaccharides correlates with the length of the carbohydrate chain. Its binding to chitooligosaccharides is characterized by negative cooperativity in the interactions of the two domains. Apparently, the flexibility of the long linker that connects the LysM and MSL domains plays a facilitating role in this recognition. The LysM domain in MSL-LysM, like other bacterial domains but unlike plant LysM domains, recognizes equally well peptidoglycan fragments as well as chitin polymers. Interestingly, in the present case two LysM domains are enough for binding to peptidoglycan in contrast to the three reportedly required by the LysM domains of Bacillus subtilis and Lactococcus lactis. Also, the affinity of MSL-LysM for chitooligosaccharides is higher than that of LysM-chitooligosaccharide interactions reported so far. A part of the work presented in this thesis has been reported in the following publications: • Patra D, Mishra P, Surolia A, Vijayan M. 2014. Structure, interactions and evolutionary implications of a domain-swapped lectin dimer from Mycobacterium smegmatis. Glycobiology, 24:956-965. • Patra D, Sharma A, Chandran D, Vijayan M. 2011. Cloning, expression, purification, crystallization and preliminary X-ray studies of the mannose-binding lectin domain of MSMEG_3662 from Mycobacterium smegmatis. Acta Crystallogr Sect F Struct Biol Cryst Commun, 67:596-599. • Patra D, Srikalaivani R, Misra A, Singh DD, Selvaraj M, Vijayan M. 2010. Cloning, expression, purification, crystallization and preliminary X-ray studies of a secreted lectin (Rv1419) from Mycobacterium tuberculosis. Acta Crystallogr Sect F Struct Biol Cryst Commun, 66:1662-1665.

The genus Mycobacterium comprises some of the most devastating pathogens that infect humans. Mycobacterium tuberculosis causes tuberculosis in humans leading to high morbidity and mortality. The disease is especially prevalent in the under-developed and developing countries of the tropics. Diseases like AIDS and cancer compromise the immune system of an individual leaving him/her susceptible to secondary infections, particularly of tuberculosis. Thus, tuberculosis is making reappearance even in the well-developed countries of the west. The emergence of multi drug resistant strains of tuberculosis makes this deadly disease difficult to cure. A vaccine against tuberculosis is therefore the need of the hour. Mycobacterium smegmatis is a non-pathogenic member of the same family. It has a relatively fast multiplication time when compared to M. tuberculosis and shares the same unique features of the family that make pathogenic members extremely resistant to chemicals and drugs. Proteins of M. smegmatis and M. tuberculosis share high sequence identities, making M. smegmatis the microorganism of choice to study its more deadly counterpart from the same family. A striking feature of all mycobacterial genomes is the abundance of genes coding for enzymes involved in fatty acid and lipid metabolism; more than 250 in Mycobacterium tuberculosis compared to only 50 in Escherichia coli. The mycobacterial genome codes for over a hundred enzymes involved in fatty acid degradation. Apart from providing energy, lipids and fatty acids also form an integral part of the cell wall and cell membrane of Mycobacteria. The abundance and importance of lipid metabolizing enzymes in Mycobacteria make them attractive targets for drug discovery. It is therefore of interest to biochemically and structurally characterize these enzymes. Thiolases are a group of enzymes that are involved in lipid metabolism. In the last step of the β-oxidation pathway, degradative thiolases catalyze the shortening of fatty acid chains by degrading 3-keto acyl CoA to acetyl CoA and a shortened acyl CoA molecule. Thiolases are a subfamily of the thiolase superfamily. This superfamily also includes the Ketoacyl-(Acyl-carrier-protein)-Synthase (KAS) enzymes, polyketide synthases and chalcone synthases. Most members of this superfamily are dimers and while only a few have been found to be tetramers. The tetramers are loosely held dimers of tight dimers. Examination of the Mycobacterium smegmatis genome revealed the presence of several putative thiolase genes. These genes have been annotated as thiolases on the basis of sequence analysis. However, none of them has been biochemically or structurally characterized. The sequence identity between some of these proteins and the other well-characterized thiolases is rather low. The work described in this thesis attempts to characterize two such enzymes from M. smegmatis structurally and functionally. Chapter 1 begins with a brief introduction to the genus Mycobacteria and the role of fatty acid metabolism in mycobacterial virulence. This is followed by a review of the current literature on the enzymes of the thiolase superfamily and their role in fatty acid metabolism. The chapter concludes with a brief summary on the aims and objectives of the work. Chapter 2 describes all the common experimental procedures and computational methods used during the course of these investigations, as most of them are applicable to all the structure determinations and analyses presented in later chapters. The experimental procedures described include overexpression, purification, site directed mutagenesis, isolation of plasmids, crystallization of proteins and X-ray diffraction data collection. Computational methods include structure determination protocols along with details of various programs used during data processing, structure determination, refinement, model building, structure validation and analysis. Chapter 3 describes the cloning, expression, purification, crystallization and structure determination of a thiolase-like protein (TLP1) from M. smegmatis. All enzymes of the thiolase superfamily that have been structurally characterized so far share four features: 1) conservation of the core α/β/α/β/α-layered structure of the thiolase domain, 2) conservation of the extensive dimerization interface, 3) the location of the active site pocket and conservation of key active site residues and 4) the use of a nucleophilic cysteine residue in catalysis. The crystal structure of MsTLP1 revealed some interesting differences when compared to classical thiolases. Of the four characteristic features of thiolases, MsTLP1 has the conserved thiolase fold. The location of its putative active site is similar to that in classical thiolases. However, the dimerization is not a conserved feature in MsTLP1, which appears to be a monomer in solution as well as in the crystal structure. The ligand binding groove of MsTLP1, identified by structural superposition with Z. ramigera thiolase, is larger than that of Z. ramigera. The absence of the catalytic cysteine suggested that though the protein has the strictly conserved thiolase fold, it might perform an entirely different function. A unique extra C-terminal domain of unknown function present only in MsTLP1 has been described towards the end of the chapter. A thorough sequence and structural analysis suggested that MsTLP1 might belong to a new subfamily in the thiolase superfamily. Chapter 4 describes the attempts made towards the biochemical characterization of MsTLP1. Thiolase assays carried out for the synthetic and degradative reactions revealed that the enzyme is inactive in both the directions. However, surface plasmon resonance binding studies revealed that the protein could bind to Coenzyme A, a feature it shares with other enzymes of the thiolase superfamily. Thorough bioinformatics analyses of the structure to determine the residues involved in CoA binding have also been described. The chapter ends with a discussion on the probable function of TLPs in Mycobacteria. Chapter 5 describes the cloning, expression, purification and X-ray structural studies on MsT1-L thiolase. This is the first structural report of a probable T1-thiolase. The protein crystallized in three different space groups, in all of which the enzyme was found to be in a tetrameric form. Analysis of the tetramer structures from the three different crystal forms revealed that MsT1-L exhibits some rotational flexibility about the central tetramerization loop. A qualitative and quantitative analysis of this movement has been described. Structural comparisons revealed that the overall structure of MsT1-L is very similar to that of the well-characterized biosynthetic thiolase form Z. ramigera. However, a detailed analysis of the ordered waters near the active site cavity revealed interesting differences between the two. The probable functional relevance of this observation has been discussed. The crystal structure of MsT1-L complexed with CoA has also been described in detail. Structural comparisons with classical thiolases also revealed significant differences in the organization of the loop domain that harbors most of the residues required for catalysis. These differences cause the active site cavity of MsT1-L to be larger than that of biosynthetic thiolase suggesting that MsT1-L thiolase could probably bind larger substrates. This cavity is large enough to accommodate a medium chain length fatty acyl CoA as substrate. Co-crystallization experiments with hexanoyl CoA revealed a novel binding site for the fatty acyl chain in MsT1-L and this has been described in detail. Contributions made towards the cloning and expression of other thiolases from S. typhimurium and P. falciparum have been described in Chapters 6 and 7. The thesis concludes with a brief discussion on the future prospects of the investigations presented here.

Mycobacterium tuberculosis, the etiological agent of tuberculosis, has adapted with the host environment and evolved to survive in harsh conditions in the host. The pathogen has successfully evolved strategies not only to evade the host immune system but also to thrive within the host cells. Upon infection, the pathogen is either cleared due to the host immune response, or it survives and causes active tuberculosis (TB) infection. In a number of cases however, the pathogen is neither killed nor does it actively proliferate, but it remains dormant in the host until the environment becomes favorable. This dormant state of pathogen is responsible for latent TB infection (LTBI). WHO reports indicated that as much as a third of the whole world’s population is exposed to the pathogen, of which a significant proportion could be latently infected (WHO report, 2015). These individuals do not show symptoms of active TB infection and hence are difficult to detect. The latent TB infected (LTBI) individuals serve as a reservoir for the pathogen, which can lead to epidemics when the conditions change. Hence, it is necessary to understand the host -pathogen interactions during LTBI, as this might provide clues to developing new strategies to detect and curb a latent infection. Host-pathogen interactions are multifaceted, in which both species attempt to recognize and respond to each other, all of these through specific molecules making distinct interactions with the other species. The outcome of the infection is thus decided by a complex set of host-pathogen interactions. The complexity arises since a large number of molecular components are involved, also multiplicity of interactions among these components and due to several feedback, feed forwards or other regulatory or influential loops within the system. The complexity of biological systems makes modeling and simulation an essential and critical part of systems– level studies. Systems biology studies provide an integrated framework to analyze and understand the function of biological systems. This work addresses some of these issues with an unbiased systems-level analysis so as to identify and understand the important global changes both in the host and in the pathogen during LTBI. The broad objectives of the work was to identify the key processes that vary in the host during latent infection, the set of metabolic reactions in the host which can be modulated to control the reactivation of infection, global adaptation in Mycobacterium tuberculosis (Mtb) and then to utilize this knowledge to identify strategies for tackling latent infection. A review of literature of the current understanding of latency from the pathogen and the host perspective is described in chapter 1. From this, it is clear that most available studies have focused on the role of individual molecules and individual biological processes such as granuloma formation, toll-like receptor signaling, T cell responses as well as cytokine signaling, in either initiating or maintaining a latent infection, but there is no report till date about whether and how these processes are connected with each other. While transcriptome based studies have identified lists of differentially expressed genes in LTBI as compared to healthy controls, no further understanding is currently available for many of them, regarding the processes they may be involved in and what interactions they make, which may be important for understanding LTBI. The first part of the work is a systematic meta-analysis of genome-scale protein interaction networks rendered condition-specific with transcriptome data of patients with LTBI, which has provided a global unbiased picture of the transcriptional and metabolic variations in the host and in the pathogen during the latent infection. To start with, publicly available gene expression data related to LTBI, active TB and healthy controls were considered. In all, 183 datasets summing up to 105 LTBI, 41 active TB and 37 healthy control samples were analyzed. (Chapter 2). Standard analysis of the transcriptome profiles of these datasets indicated that there was zero overlap among them and that not a single gene was seen in common among all datasets for the same condition. An extensive human protein-protein interaction network was constructed using information available from multiple resources that comprehensively contained structural or physical interactions and genetic interactions or functional influences. Nodes in this network represented individual proteins and edges represented interactions between pairs of nodes. The identity of each node and the nature of interaction of each edge along with the type of evidence that was used as the basis for drawing the edge, was collated for the network. The gene expression data was integrated into the human protein-protein interaction (PPI) network for each condition, which essentially had weighted nodes and directed edges, specific to that condition, from which specific comparative networks were derived. The highest ranked perturbations in LTBI were identified through a network mining protocol previously established in the laboratory. This involved computing all versus all shortest paths on the comparative network, scoring the paths based on connectedness and various centrality measures of the nodes and the edges and finally ranking the paths based on the cumulative path scores. Intriguingly, the top-ranked set of perturbations were found to form a connected sub-network by themselves, referred to as a top perturbed sub-network (top-net), indicating that they were functionally linked or perhaps even orchestrated in some sense. Th17 signaling appears to be dominant. About 40 genes were identified in the unique set of LTBI condition as compared to the active TB condition, and these genes showed enrichment for processes such as apoptosis, cell cycle as well as natural killer cell mediated toxicity. Construction and analysis of a miRNA network indicated that 32 of these have strong associations with miRNA explaining the role of the latter in controlling LTBI. 3 other genes from the top-net are already established drug targets for different diseases with known drugs associated with them, which are BCL2, HSP90AA1 and NR3C1. These 3 proteins can be explored further as drug targets in LTBI whose manipulation using existing drugs may result in inhibiting the underlying biological process and thereby result in disturbing the state of latency. As a second objective, global variations in the host transcriptome were identified during ascorbic acid induced dormancy (Chapter 3). Ascorbic acid or Vitamin C is a nutrient supplement required in the diet. This organic compound has a known antioxidant property, as it is known to scavenge the free radicals. In a recent study, Taneja et al, demonstrated that Vitamin C could induce dormancy in Mtb. On similar lines, experiments were done in THP-1 cells infected with Mtb to determine the host responses during ascorbic acid (AA) induced dormancy. The raw gene expression data was provided by our collaborator Prof. Jaya Tyagi that included 0 hour, 4 days and 6 days time points with infection and vitamin C versus infection alone or vitamin C alone as controls. The transcriptome data was normalized and integrated into the human PPI network as described for the meta-analyses. It was experimentally determined that ascorbic acid induces dormancy in 4 days post infection. The top-ranked paths of perturbation were analyzed and compared for three different conditions: (i) uninfected condition, (ii) AA treated and infected condition, and (iii) AA, isoniazid and infected condition. The dormant pathogen is known to be drug-tolerant and thus as a marker for the state of dormancy, the lack of effect of isoniazid is also monitored in the infected host cells. The analysis revealed that there were some broad similarities as compared to LTBI from patient samples but AA induced dormancy in cell lines stood out a separate group indicating that there were significant differences such as involving Interferon Induced Transmembrane Proteins (IFITMs), vacuolar ATPase as well as GDF15, which belongs to TGF-beta signaling pathway. The highest ranked perturbed paths contained genes involved in innate immune responses of which ISG15, IFITMs, HLAs and ATPases emerge as the most altered in the dormant condition. CCR7 emerges as a key discriminator, which is subdued in the latent samples but highly induced in infection conditions. Pathway-based analysis of different conditions showed that oxidative stress, glutathione metabolism, proteasome degradation as well as type II interferon signaling are significantly up-regulated in AA induced dormancy. The dormant bacteria reside in the host cells and are known to modulate the host metabolism for their own benefit. So, the third objective was to understand the metabolic variations in the host during LTBI (Chapter 4). A genome-scale metabolic (GSM) model of alveolar macrophage was used in this study. The metabolic model contains information of the reactions, metabolites and the genes encoding enzymes that catalyze a particular reaction. Flux balance analysis (FBA), a constraint-based metabolic modeling method, is used for analyzing the alterations in the metabolism under different infection conditions. In order to mimic the physiological condition, gene expression data was used for constraining the bounds of the reactions in the model. Two different expression studies were used for analysis: GSE25534 (from Chapter 2) and ascorbic acid induced dormancy (Chapter 3). The analysis was carried out for latent TB versus healthy control and latent TB versus active TB to identify the most altered metabolic processes in LTBI. Differences in fluxes between the two conditions were calculated. A new classification scheme was devised to categorize the reactions on the basis of flux differences. In this chapter, higher fluxes in LTBI condition were identified for reactions involved in transport of small metabolites as well as amino acids. Solute carrier proteins responsible for the transport of the metabolites were identified and their biological significance is discussed. Reduced glutathione (GSH), arachidonic acid, prostaglandins, pantothenate were identified as important metabolites in LTBI condition and their physiological role has been described. Sub-system analysis for different conditions shows differential regulation for arachidonic acid metabolism, fatty acid metabolism, folate metabolism, pyruvate metabolism, glutathione metabolism, ROS detoxification, triacylglycerol synthesis and transport as well as tryptophan metabolism. From the study, transporter proteins and reactions altered during LTBI were identified, which again provide clues for understanding the molecular basis of establishing a latent infection. Mycoabcterium tuberculosis is known to undergo dormancy during stress conditions. In this chapter, the main objective was to identify the global variations in the dormant Mtb (Chapter 5). To carry out the analysis, the Mtb PPI network was constructed using information from available resources. Gene expression data of two different dormancy models, Wayne growth model and multiple-stress model, were used for the study. To identify the key players involved in reversal of dormancy, the transcriptome data of reaeration condition was also used. In this study, the Max-flow algorithm was implemented to identify the feasible paths or flows in different condition. The flows with higher scores indicate that more information is traversed by the path, and hence is important for the study. From the analysis of Wayne growth model (hypoxia model), important transcriptional regulators such as SigB, SigE, SigH, regulators in the two-component system such as MprA, MtrA, PhoP, RegX3 and TrcR were identified in stress condition. Multiple-stress model studied the growth of bacteria in low oxygen concentration, high carbon dioxide levels, low pH and nutrient starvation. The gene expression data was integrated in the Mtb PPI network and implementation of Max-flow algorithm showed that MprA, part of the MprA-MprB two-component system, is involved in the regulation of persistent condition. WhiB1 also features in the paths of dormant condition and its role in persistence can be explored. In reaeration model, WhiB1 and WhiB4 are present in the top flows of this condition indicating that the redox state is perturbed in the pathogen and the interactions of these proteins are important to understand the reversal of dormant condition. From the study, Rv2034, Rv2035, HigA, Rv1989, Rv1990 and Rv0837 proteins belonging to toxin-antitoxin systems were also identified in the dormant bacteria, indicating their role in adaptation during stress condition. The role of Rv2034 has been studied in persistence, but the function of other proteins can be analyzed to provide new testable hypotheses about the role of these proteins in dormancy. Thus, the flows or paths perturbed during dormancy were identified in this study. To get a better understanding of the metabolic network active in mycobacteria under different conditions, experiments were performed in Mycobacterium smegmatis MC2 155. The non-pathogenic strain of genus Mycobacteria, Mycobacterium smegmatis, is used as a surrogate to carry out molecular biology studies of Mtb. Mycobacterium smegmatis MC2 155 (Msm) is the commonly used laboratory strain for experimental purpose. In order to obtain a clear understanding of how comparable are the metabolic networks between the virulent M. tuberculosis H37Rv and the model system Msm, the latter model is first studied systematically. In Chapter 6, first the functional annotation of the Msm genome was carried out and the genes were categorized into different Tuberculist classes based on homology with the Mtb genome. A high-throughput growth characterization was carried out to characterize the strain systematically in terms of different carbon, nitrogen or other sources that promoted growth and thus served as nutrients and those that did not, together yielding a genome-phenome correlation in Msm. Gene expression was measured and used for explaining the observed phenotypic behavior of the organism. Together with the genome sequence, the transcriptome and phenome analysis, a set of about 257 different metabolic pathways were identified to be feasible in wild-type Msm. About 284 different carbon, nitrogen source and nutrient supplements were tested in this experiment and 167 of them supported growth of Msm. This indicates that the compounds enter the cells and are metabolized efficiently, thus yielding similar phenotypes. The expressed genes and metabolites supporting growth were mapped to the metabolic network of Msm, thus helping in the identification of feasible metabolic routes in Msm. A comparative study between Msm and Mtb revealed that these organisms share similarity in the nutrient sources that are utilized for growth. The study provides experimental proof to identify the feasible metabolic routes in Msm, and this can be used for understanding the metabolic capability in the two organisms under different conditions providing a basis to understand adaptations during dormancy. In the last part of the work presented in this thesis, the metabolic shift in the pathogen was studied using a genome-scale metabolic model of Mtb (Chapter 7). The model contains information of the reactions, metabolites and genes involved in the reactions. Flux balance analysis (FBA) was carried out by integrating normalized gene expression data (Wayne model and multiple-stress model transcriptome considered in Chapter 5) to identify the set of reactions, which have a higher flux in the dormant condition as compared to the control replicating condition. Glutamate metabolism along with propionyl CoA metabolism emerge as major up-regulated processes in dormant Mtb. Next, with an objective of identifying essential genes in dormant Mtb, a systematic in silico single gene knock-out analysis was carried out where each gene and it's associated reaction was knocked out of the model, one at a time and the ability of the model to reach its objective function assessed. About 168 common genes in Wayne model and multiple-stress model were identified as important in Mtb after the knockout analysis. Essentiality is in essence a systems property and requires to be probed through multiple angles. Towards this, essential genes were identified in Mtb using a multi-level multi-scale systems biology approach. About 283 genes were identified as essential on the basis of combined analysis of transcriptome data, FBA, network analysis and phyletic retention studies in Mtb. 168 genes identified as important in dormant Mtb were compared with 283 essential genes and about 91 genes were found to be essential. Finally, among the set of essential genes, those that satisfy other criteria for a drug target were analyzed using the list of high-confidence drug targets of Mtb available in the laboratory along with their associated drug or drug-like molecules. 38 out of the 168 important genes in Mtb were found to have one or more drugs associated with them from the DrugBank database. Colchicin-Rv1655, Raloxifene-Rv1653, Bexarotene-Rv3804, Rosiglitazone-Rv3804 are top-scoring drug-target pairs that can be explored for killing dormant bacilli. The study has thus been useful in identifying important proteins, reactions and drug targets in dormant Mtb. In summary, the thesis presents a comprehensive systems-level understanding of various aspects of host responses and pathogen adaptation during latent TB infection. Key host and pathogen factors involved in LTBI are identified that serve as useful pointers for deriving strategies for tackling a latent infection.