Triatominae (Hemiptera:Reduviidae) in Texas: Mitochondrial Genome Assembly, Trypanosoma Cruzi Detection, and Bacterial Community Analysis

The genus Triatoma contains vectors of the protozoan parasite Trypanosoma cruzi, the pathogen responsible for Chagas disease. The following research presents several inductive studies to develop vector control approaches targeted to the genus or species level. Two-hundred and eighty-two insects were collected, identified, and tested for the presence of T. cruzi. Four species of the Triatoma genus were collected - the overall incidence of T. cruzi was 52% (T. gerstaeckeri -51%, T. lecticularia – 92%, other, 29%). From these 282 insects, the bacterial communities of eight specimens of T. gerstaeckeri were sequenced and analyzed using pyrosequencing technology. The bacterial communities were assigned taxonomy in silica. Bacterial communities were consistent with previous analyses conducted with differing methods, and had low alpha and beta diversity, which makes this system ideal for a targeted vector control approach. Whole genomic mitochondrial DNA was isolated from two species of Triatoma. This mtDNA was then sequenced with a high-thoroughput sequencing platform. The resulting sequence data was assembled de novo and referenced to an existing mitochondrial genome (T. dimidiata, the leading vector of T. cruzi in South America). The mitogenomes were similar, containing approximately 17 000 kbp, similar coding regions, and 30% GC content, suggesting little divergence between the species. A gene deletion in T. lecticularia was found when compared to both T. dimidiata and T. gerstaeckeri, which could be useful in vector control efforts. Results from this research should be used to develop and implement vector control strategies to inhibit the spread of T. cruzi

Topological Characterization of Hamming and Dragonfly Networks and its Implications on Routing

Current HPC and datacenter networks rely on large-radix routers. Hamming graphs (Cartesian products of complete graphs) and dragonflies (two-level direct networks with nodes organized in groups) are some direct topologies proposed for such networks. The original definition of the dragonfly topology is very loose, with several degrees of freedom such as the inter- and intra-group topology, the specific global connectivity and the number of parallel links between groups (or trunking level). This work provides a comprehensive analysis of the topological properties of the dragonfly network, providing balancing conditions for network dimensioning, as well as introducing and classifying several alternatives for the global connectivity and trunking level. From a topological study of the network, it is noted that a Hamming graph can be seen as a canonical dragonfly topology with a large level of trunking. Based on this observation and by carefully selecting the global connectivity, the Dimension Order Routing (DOR) mechanism safely used in Hamming graphs is adapted to dragonfly networks with trunking. The resulting routing algorithms approximate the performance of minimal, non-minimal and adaptive routings typically used in dragonflies, but without requiring virtual channels to avoid packet deadlock, thus allowing for lower-cost router implementations. This is obtained by selecting properly the link to route between groups, based on a graph coloring of the network routers. Evaluations show that the proposed mechanisms are competitive to traditional solutions when using the same number of virtual channels, and enable for simpler implementations with lower cost. Finally, multilevel dragonflies are discussed, considering how the proposed mechanisms could be adapted to them

Genomics and spatial surveillance of Chagas disease and American visceral leishmaniasis

The Trypanosomatidae are a family of parasitic protozoa that infect various animals and plants. Several species within the Trypanosoma and Leishmania genera also pose a major threat to human health. Among these are Trypanosoma cruzi and Leishmania infantum, aetiological agents of the highly debilitating and often deadly vector-borne zoonoses Chagas disease and American visceral leishmaniasis. Current treatment options are far from safe, only partially effective and rarely available in the impoverished regions of Latin America where these ‘neglected tropical diseases’ prevail. Wider-reaching, sustainable protection against T. cruzi and L. infantum might best be achieved by intercepting key routes of zoonotic transmission, but this prophylactic approach requires a better understanding of how these parasites disperse and evolve at various spatiotemporal scales. This dissertation addresses key questions around trypanosomatid parasite biology and spatial epidemiology based on high-resolution, geo-referenced DNA sequence datasets constructed from disease foci throughout Latin America: Which forms of genetic exchange occur in T. cruzi, and are exchange events frequent enough to significantly alter the distribution of important epidemiological traits? How do demographic histories, for example, the recent invasive expansion of L. infantum into the Americas, impact parasite population structure, and do structural changes pose a threat to public health? Can environmental variables predict parasite dispersal patterns at the landscape scale? Following the first chapter’s review of population genetic and genomic approaches in the study of trypanosomatid diseases in Latin America, Chapter 2 describes how reproductive polymorphism segregates T. cruzi populations in southern Ecuador. The study is the first to clearly demonstrate meiotic sex in this species, for decades thought to exchange genetic material only very rarely, and only by non-Mendelian means. T. cruzi subpopulations from the Ecuadorian study site exhibit all major hallmarks of sexual reproduction, including genome-wide Hardy-Weinberg allele frequencies, rapid decay of linkage disequilibrium with map distance and genealogies that fluctuate among chromosomes. The presence of sex promotes the transfer and transformation of genotypes underlying important epidemiological traits, posing great challenges to disease surveillance and the development of diagnostics and drugs. Chapter 3 demonstrates that mating events are also pivotal to L. infantum population structure in Brazil, where introduction bottlenecks have led to striking genetic discontinuities between sympatric strains. Genetic hybridization occurs genome-wide, including at a recently identified ‘miltefosine sensitivity locus’ that appears to be deleted from the majority of Brazilian L. infantum genomes. The study combines an array of genomic and phenotypic analyses to determine whether rapid population expansion or strong purifying selection has driven this prominent > 12 kb deletion to high abundance across Brazil. Results expose deletion size differences that covary with phylogenetic structure and suggest that deletion-carrying strains do not form a private monophyletic clade. These observations are inconsistent with the hypothesis that the deletion genotype rose to high prevalence simply as the result of a founder effect. Enzymatic assays show that loss of ecto-3’-nucleotidase gene function within the deleted locus is coupled to increased ecto-ATPase activity, raising the possibility that alternative metabolic strategies enhance L. infantum fitness in its introduced range. The study also uses demographic simulation modelling to determine whether L. infantum populations in the Americas have expanded from just one or multiple introduction events. Comparison of observed vs. simulated summary statistics using random forests suggests a single introduction from the Old World, but better spatial sampling coverage is required to rule out other demographic scenarios in a pattern-process modelling approach. Further sampling is also necessary to substantiate signs of convergent selection introduced above. Chapter 4 therefore develops a ‘genome-wide locus sequence typing’ (GLST) tool to summarize parasite genetic polymorphism at a fraction of genomic sequencing cost. Applied directly to the infection source (e.g., vector or host tissue), the method also avoids bias from cell purification and culturing steps typically involved prior to sequencing of trypanosomatid and other obligate parasite genomes. GLST scans genomic pilot data for hundreds of polymorphic sequence fragments whose thermodynamic properties permit simultaneous PCR amplification in a single reaction tube. For proof of principle, GLST is applied to metagenomic DNA extracts from various Chagas disease vector species collected in Colombia, Venezuela, and Ecuador. Epimastigote DNA from several T. cruzi reference clones is also analyzed. The method distinguishes 387 single-nucleotide polymorphisms (SNPs) in T. cruzi sub-lineage TcI and an additional 393 SNPs in non-TcI clones. Genetic distances calculated from these SNPs correlate with geographic distances among samples but also distinguish parasites from triatomines collected at common collection sites. The method thereby appears suitable for agent-based spatio-genetic (simulation) analyses left wanted by Chapter 3 – and further formulated in Chapter 5. The potential to survey parasite genetic diversity abundantly across landscapes compels deeper, more systematic exploration of how environmental variables influence the spread of disease. As environmental context is only marginally considered in the population genetic analyses of Chapters 2 – 4, Chapter 5 proposes a new, spatially explicit modelling framework to predict vector-borne parasite gene flow through heterogeneous environment. In this framework, remotely sensed environmental raster values are re-coded and merged into a composite ‘resistance surface’ that summarizes hypothesized effects of landscape features on parasite transmission among vectors and hosts. Parasite population genetic differentiation is then simulated on this surface and fitted to observed diversity patterns in order to evaluate original hypotheses on how environmental variables modulate parasite gene flow. The chapter thereby makes a maiden step from standard population genetic to ‘landscape genomic’ approaches in understanding the ecology and evolution of vector-borne disease. In summary, this dissertation first demonstrates the power of population genetics and genomics to understand fundamental biological properties of important protist parasites, then identifies areas where analytical tools are missing and creates new technical and conceptual frameworks to help fill these gaps. The general discussion (Chapter 6) also outlines several follow-up projects on the key finding of meiotic genetic signatures in T. cruzi. Exploiting recently developed T. cruzi genome-editing systems for the detection of meiotic gene expression and heterozygosis will help understand why and in which life cycle stage some parasite populations use sex and others do not. Long-read sequencing of parental and recombinant genomes will help understand the extent to which sex is diversifying T. cruzi phenotypes, especially virulence and drug resistance properties conferred by surface molecules with repetitive genetic bases intractable to short-read analysis. Chapter 6 also provides follow-up plans for all other research chapters. Emphasis is placed on advancing the complementarity, transferability and public health benefit of the many different methods and concepts employed in this work

Targeting farnesyl pyrophosphate synthase of Trypanosoma cruzi by fragment-based lead discovery

Trypanosoma cruzi (T. cruzi) is the causative agent of Chagas disease (CD), which mostly affects underprivileged populations in South and Central America. The current standard of care for this disease are the two empirically discovered drugs benznidazole and nifurtimox. They show low efficacy, difficulties in administration and severe side effects. Moreover, there are T. cruzi strains that have formed resistances. Thus, the development of a safe and efficient drug is urgently needed. T. cruzi is dependent on isoprenoid biosynthesis as ergosterol and other 24 alkylsterols are essential metabolites that cannot be acquired by other mechanisms. Therefore, it was hypothesised that enzymes along this pathway are promising drug targets. A number of compounds targeting these enzymes were tested and have been shown to inhibit parasite growth. Among those enzymes is farnesyl pyrophosphate synthase (FPPS), a key branch-point enzyme in the isoprenoid pathway, which is in the focus of this work. It catalyses the synthesis of farnesyl pyrophosphate (FPP), a C15 building block in sterol biosynthesis and in protein prenylation of signalling proteins. Bisphosphonates (BPs) are known active site directed FPPS inhibitors, which exhibit ideal pharmacokinetics to target bone mineral and are used to treat bone diseases. BPs can also combat T. cruzi flagellates but are not ideal to treat CD due to their pharmacokinetics. In the search for new chemotypes, several non-BP inhibitors that bind to another pocket were found for human FPPS (hFPPS) by fragment based screening (FBS). Recently, it was shown that the product of FPPS, farnesyl pyrophosphate (FPP), can bind to this pocket and locks the enzyme in an open and inactive state, thus showing the allosteric character of this pocket. The current work aims at the discovery of non-BP inhibitors of T. cruzi FPPS (TcFPPS), which could be starting points for the development of a treatment against CD. Towards this goal, recombinant expression in E. coli cells and purification by means of IMAC and SEC yielded pure und homogenous TcFPPS (chapter 5.1). This includes unlabelled, 13C15N labelled and in vivo biotinylated avi-tagged TcFPPS. Furthermore, a novel, reliable, highly reproducible, and well diffracting crystallization system was established. The system exhibits excellent properties for FBS as it was compatible with different types of 96-well plates. Apo crystals were stable for up to 24 h in 15% DMSO and allowed collection of data sets with a diffraction limit of around 1.6 Å. The best achieved diffraction limit was 1.28 Å for a soaked TcFPPS crystal (PDB ID 6R09). The allosteric region in TcFPPS was investigated by means of sequence analysis and structural superimposition of various orthologous FPPSs (chapter 5.2). This revealed that the allosteric region is less conserved than the active site. Differences among residues in equivalent positions that form the allosteric site were observed, which is surprising if it is assumed that all FPPSs can be product inhibited as hFPPS. A remarkable finding is that residue Phe50 in TcFPPS is an exception in an otherwise highly conserved position. It causes steric hindrance of the pocket in TcFPPS. An attempt to reposition established allosteric inhibitors of hFPPS showed binding affinity to TcFPPS but the two obtained crystal structures demonstrated their binding to sites on the protein surface (sites S1 and S2, PDB IDs 6R08 and 6R07, respectively). The Novartis core and fluorine library (1336 and 482 compounds) were screened on TcFPPS, which resulted in 63 and 45 validated fragment hits, respectively (chapter 5.3). Performing the same screen with T. brucei FPPS (TbFPPS), the causative agent of African sleeping sickness, and counter screening on hFPPS led to unique, pairwise and triple binders demonstrating selectivity at the early stage of FBS. Strikingly, TcFPPS has generally more binders than TbFPPS, and TcFPPS has many unique hits when compared to TbFPPS. Subsequent crystallization experiments with the core library hits resulted in 3D structures of two TcFPPS complexes. One ligand binds to the homodimer interface (site S12) and the other one in the active site. The latter was identified by using the statistical analysis tool Pan-Dataset Density Analysis (PanDDA). FBS by X-ray crystallography at the XChem facility in Harwell, UK, and the HTXlab in Grenoble, France, were conducted (chapter 5.4). The XChem screen identified 35 fragment binders (PDB IDs 5QPD – Z, 5QQ0 – 9, 5QQA – C) in binding sites that were distributed over the entire protein. This includes the active site, the allosteric site, the homodimer interface, sites on the surface and a new site in close proximity to the active site. Strikingly, the first two fragments binding to the allosteric site of TcFPPS in its open state were identified. Rotation of the phenyl side chain of Phe50 led to opening of the former closed pocket. The HTXlab screen identified additional binders for the active and allosteric site. In total 1244 data sets were collected and analysed. This process was accelerated using PanDDA. The first fragment-to-lead optimization by means of virtual screening using the web-based platform ANCHOR.QUERY was based on fragment hit LUY (chapter 5.5). Compounds were synthesised using one-pot one-step multi-component reactions. Synthesis of 11 compounds (MCR 1 – 11) was successful, but poor solubility was detrimental in subsequent testing on TcFPPS and crystallization experiments did not lead to a structural model of a complex. A second fragment to lead optimization using a fragment merging approach for chemical optimization was based on the active site directed binders AWM, LVV, LUY, LDV and AWV (chapter 5.6). A library of 12 compounds (MCN 1 – 12) was synthesised by reductive amination. X-ray structures revealed unexpected binding modes for compounds MCN-1, -4 and -8. Instead of retaining the binding site of the fragment, the merged compounds bind to the surface directed binding site S1 (PDB IDs 6R09, 6R0A, 6R0B). Nevertheless, the 50 new crystal structures of TcFPPS fragment complexes discussed in this work will pave the way for future drug discovery campaigns for CD. The large diversity of the fragments’ scaffolds and different binding sites are potential starting points for inhibitors with different physicochemical properties and a novel mode of action that might help to overcome the limitations related to the BP scaffold

Proceedings of the 3rd International Workshop on Optimal Networks Topologies IWONT 2010

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