Magister Scientiae - MSc / Southern Africa is facing one of the most serious HIV epidemics. This project contributes to the HIVNET, Network for Prevention Trials cohort for vaccine development. HIVÂ’s biology and rapid mutation rate have made vaccine design difficult. We examined HIV-1 subtype C diversity and how it relates to CTL epitope location along viral gag sequences. We found a negative correlation between codon sites under positive selection and epitope regions; suggesting epitope regions are evolutionarily conserved. It is possible that epitopes exist in non-conserved regions, yet fail to be detected due to the reference strain diverging from the circulating viral population. To test if CTL clustering is an artifact of the reference strain, we calculated differences between the gag codons and the reference strain. We found a weak negative correlation, suggesting epitopes in less conserved regions maybe evading detection. Locating conserved and optimal epitopes that can be recognized by CTLs is essential for the design of vaccine reagents. / South Africa

MSc (Microbiology) / Department of Microbiology

Thesis ((Ph.D. (Physiology))--North-West University, Potchefstroom Campus, 2010.

Thesis ((Ph.D. (Physiology))--North-West University, Potchefstroom Campus, 2010.

PhD / Department of Microbiology

Thesis (MScMedSc)--Stellenbosch University, 2013. / Bibliography / The efficiency in which HIV-1 can infect, spread and evade the attack of therapeutic agents can be attributed to a high mutation rate and frequent recombination events. These factors have collectively contributed to the diversity observed in HIV-1 and resulted in a multitude of subtypes, sub-subtypes, circulating recombinant forms (CRF’s) and unique recombinant forms (URF’s). The aim of this study was to investigate HIV-1 diversity in Cape Town using a small cohort of treatment naive patients being investigated for HIV Associated Neurocognitive Disorders (HAND). Four different genomic domains: gag, pol, accessory and gp41 genes were sequenced to subtype the virus. HIV-1 tat was further investigated because the dicysteine motif has been reported to play a role in HAND. Viral RNA and proviral DNA was extracted from 64 patients and used for the amplification and sequencing of the genes. Rega and jpHMM online tools were used to identify HIV-1 subtypes and recombinants while Neighbor-joining phylogenetic trees were constructed for phylogenetic analysis. The pol gene was further investigated using SCUEAL to detect possible intra-subtype recombination and was also screened for the presence of transmitted drug resistance. In addition tat sequence datasets retrieved from the Los Alamos sequence database were investigated and compared with the newly generated sequences for the detection of point mutations and amino acid signature patterns. Sequencing identified most of the samples as subtype C; however six inter-subtype recombinants (AE, A1G, A1CU and two BC) and 9 intra-subtype C recombinants were identified. In addition 13% of pol sequences were identified with resistance mutations. Signature pattern analysis identified a high level of variability in the tat sequences: 68% were identified with C30S31; 29% with the C30C31 mutation and a single sequence with a novel mutation C30A31. Functional analysis of these mutations indicated that all mutations investigated were capable of inducing apoptosis in cell culture. The C30C31 mutation generated the highest level of apoptosis, closely followed by the C30A31 mutation. However no statistical significance could be detected between tat mutations and the observed levels of apoptosis.

Thesis (PhD)-- Stellenbosch University, 2013. / ENGLISH ABSTRACT: The HIV epidemic in the past couple of decades has spread at an alarming rate throughout Southern Africa. Today the region accounts for roughly one third of all HIV infections, while prevalence rates in other areas of sub-Saharan Africa remain low. In the following study, sampled sequences from Cape Town, spanning over a 21-year period were used to investigate the epidemic history of HIV, which was compared to epidemic trends across Southern Africa. Longitudinal sequence data sets were generated from stored patient samples from Cape Town through standard molecular techniques. Firstly, these sequences were used to estimate the date of origin of the HIV epidemic in Cape Town and to reconstruct a demographic history of the epidemic with advanced Bayesian inference methods. These analyses placed the estimated date of origin of the Cape Town epidemic around the mid 1960‟s with periods of strong epidemic growth observed during the mid 1980‟s and 1990‟s. Secondly, reference strains of HIV from Southern African countries were used to estimate the date of origin of the epidemic in the Southern African region. These analyses placed the date of origin of the epidemic in the Southern African region around the mid 1950‟s roughly ten years before the start of the epidemic in Cape Town/South Africa. These sequences were also used for the reconstruction of the demographic history of the epidemic in the region. A two phased growth in the HIV epidemic in the Southern African region was observed with exponential growth occurring in the mid 1980‟s and 1990‟s. Such findings are also supported by HIV prevalence estimates made by some of the leading HIV research centres and government health departments. Thirdly, a large number of homologous reference strains were used to establish the evolutionary relationship of HIV isolates from Cape Town with those from around the world. A close genetic relationship between Cape Town isolates with other South African and other Southern African isolates was observed in these analyses. Finally, large monophyletic clusters of Cape Town isolates, which was observed during the evolutionary inference, were further investigated. After detailed analyses it appears that these transmission clusters of HIV-1 have been in circulation amongst the infected population of Cape Town for several years or decades. / AFRIKAANSE OPSOMMING: Die MIV-epidemie het in die afgelope paar dekades teen ´n snelspoed deur Suider-Afrika versprei. Een derde van die globale MIV-infeksies kom hiér voor terwyl ander dele van Afrika aansienlik minder infeksies aantoon. Verskeie studies skryf dit toe aan onder andere: manlike besnydenis, seksuele losbandigheid, migrasie en verskeie politike faktore. Die MIV-epidemie in Suider-Afrika word deur ´n enkele subtipe van die virus oorheers (nl. MIV Subtipe C) terwyl ander subtipes sirkuleer deur die res van sub Sahara-Afrika. In die opeenvolgende studie word DNS-monsters uit Kaapstad (wat oor ´n 20 jaar tydperk strek) gebruik om die oorsprong en verloop van die epidemie te bestudeer. Die data van die Kaapstad epidemie word met die geskiedkundige verloop van die epidemie in Suider-Afrika vergelyk. Deur gestoorde bloedmonsters van Kaapstad te gebruik, was DNS-datastelle gegenereer deur middel van standaard molekulêre tegnieke. Die DNS-monsters was eerstens gebruik om die evolusionêre oorsprong en verloop van die epidemie in Kaapstad te bepaal deur Bayesiaanse Markov-ketting Monte Carlo steekproefneming. Volgense die resultate het die epidemie sy oorsprong in die 1960‟s. Klein periodes van epidemiese groei kon waargeneem word gedurende die 1980's en -90's. Die bevindings is toe vergelyk met die geskiedkundige verloop van die epidemie in Suider-Afrika. Die Suider-Afrika epidemie se oorsprong en verloop was afgelei van DNS monsters wat verkry is van publieke databasisse en die gebruik van soortgelyke Bayesiaanse metodes. Die resultate van die ondersoek het bevind dat die epidemie in Suider-Afrika in die 1950‟s ontstaan het. In vergelyking toon dit 'n stadiger liniêre groei met kort periodes van eksponensiële groei. Verder is ´n standard filogenetiese analise onderneem om die evolusionêre verwantskap van die Kaapstad-monsters te bepaal met ander MIV subtipe C isolate. Die filogenetiese steekproef toon dat die Kaapstad-monster baie nou verwant is aan ander isolate van Kaapstad, Suid-Afrika en Suider Afrika. Buiten hierdie bevindings was transmissie-bondels van MIV in Kaapstad ontdek. Na ´n deeglike verdere filogenetiese ondersoek blyk dit of die transmissie bondels al vir ´n paar dekades deur die geïnfekteerde populasie van Kaapstad sirkuleer. / Poliomyelitis Research Foundation (PRF) / Faculty of Medicine and Health of the University of Stellenbosch / National Research Foundation (NRF) of South Africa,

PhD (Microbiology) / Department of Microbiology / High genetic diversity is a major contributory factor in the development of drug resistance, in addition to challenges in diagnosis and treatment monitoring in the therapeutics of human immunodeficiency virus (HIV) .Within the wide HIV-1 diversity, differences in mutational frequency, disease progression, drug response and transmission amongst HIV-1 subtypes have been shown. In spite HIV-1 subtype C (HIV-1C) being the most prevalent variant globally, none of the available drugs nor screening assays for inhibitory molecules have been developed targeting the genetics of this important subtype. This study therefore aimed to overexpress and biophysically characterize HIV-1C reverse transcriptase and protease to serve as reagents in the development of assays for routine screening of molecules inhibitory to HIV-1C. Heterologous expression of HIV-1C reverse transcriptase and protease isolates that are prevalent in South Africa was carried out in Escherichia coli (E. coli (BL21-DE3). The secondary and tertiary structures of the proteins were determined using, circular dichroism (CD) and fluorescence spectroscopy respectively. Thereafter, interaction studies to delineate interaction properties of natural products for possible inhibition of protease were conducted. Furthermore, in silico studies to determine binding interactions, further confirmed by in vitro binding assays of a pepsin inhibitor homolog (Bm-33) from Brugia malayi , against protease were also conducted. Expressed reverse transcriptase and protease from the globally prevalent HIV-1C were shown to be structurally and functionally intact for application in downstream HIV-1 inhibition assays. Interaction studies on the other hand revealed successful inhibition of the expressed HIV-1C PR with gallotanin. Furthermore, binding interactions of Bm-33 and HIV-1 PR revealed the first intermolecular interactions of the two molecules displaying possible inhibition of HIV-1 PR / NRF

La donnée de séquences nucléotidiques permet d'inférer des arbres phylogénétiques, ou phylogénies, qui décrivent leur lien de parenté au cours de l'évolution. Associer à ces séquences leur date de prélèvement ou leur pays de collecte, permet d'inférer la localisation temporelle ou spatiale de leurs ancêtres communs. Ces données et procédures sont très utilisées pour les séquences de virus et, notamment, celles du virus de l'immunodéficience humaine (VIH), afin d'en retracer l'histoire épidémique à la surface du globe et au cours du temps. L'utilisation de séquences échantillonnées à des moments différents (ou hétérochrones) sert aussi à estimer leur taux de substitution, qui caractérise la vitesse à laquelle elles évoluent.Les méthodes les plus couramment utilisées pour ces différentes tâches sont précises, mais lourdes en temps de calcul car basées sur des modèles complexes, et ne peuvent traiter que quelques centaines de séquences. Devant le nombre croissant de séquences disponibles dans les bases de données, souvent plusieurs milliers pour une étude donnée, le développement de méthodes rapides et efficaces devient indispensable. Nous présentons une méthode de distances, Ultrametric Least Squares, basée sur le principe des moindres carrés, souvent utilisé en phylogénie, qui permet d'estimer le taux de substitution d'un ensemble de séquences hétérochrones, dont on déduit ensuite facilement les dates des spéciations ancestrales. Nous montrons que le critère à optimiser est parabolique par morceaux et proposons un algorithme efficace pour trouver l'optimum global.L'utilisation de séquences échantillonnées en des lieux différents permet aussi de retracer les chaînes de transmission d'une épidémie. Dans ce cadre, nous utilisons la totalité des séquences disponibles (~3 500) du sous-type C du VIH-1 (VIH de type 1), responsable de près de 50% des infections mondiales au VIH-1, pour estimer ses principaux flux migratoires à l'échelle mondiale, ainsi que son origine géographique. Des outils novateurs, basés sur le principe de parcimonie combiné avec différents critères statistiques, sont utilisés afin de synthétiser et interpréter l'information contenue dans une grande phylogénie représentant l'ensemble des séquences étudiées. Enfin, l'origine géographique et temporelle de ce variant (VIH-1 C) au Sénégal est précisément explorée lors d'une seconde étude, portant notamment sur les hommes ayant des rapports sexuels avec des hommes. / Nucleotide sequences data enable the inference of phylogenetic trees, or phylogenies, describing their evolutionary re-lationships during evolution. Combining these sequences with their sampling date or country of origin, allows inferring the temporal or spatial localization of their common ancestors. These data and methods are widely used with viral sequences, and particularly with human immunodeficiency virus (HIV), to trace the viral epidemic history over time and throughout the globe. Using sequences sampled at different points in time (or heterochronous) is also a mean to estimate their substitution rate, which characterizes the speed of evolution. The most commonly used methods to achieve these tasks are accurate, but are computationally heavy since they are based on complex models, and can only handle few hundreds of sequences. With an increasing number of sequences avail-able in the databases, often several thousand for a given study, the development of fast and accurate methods becomes essential. Here, we present a new distance-based method, named Ultrametric Least Squares, which is based on the princi-ple of least squares (very popular in phylogenetics) to estimate the substitution rate of a set of heterochronous sequences and the dates of their most recent common ancestors. We demonstrate that the criterion to be optimized is piecewise parabolic, and provide an efficient algorithm to find the global minimum.Using sequences sampled at different locations also helps to trace transmission chains of an epidemic. In this respect, we used all available sequences (~3,500) of HIV-1 subtype C, responsible for nearly 50% of global HIV-1 infections, to estimate its major migratory flows on a worldwide scale and its geographic origin. Innovative tools, based on the principle of parsimony, combined with several statistical criteria were used to synthesize and interpret information in a large phylogeny representing all the studied sequences. Finally, the temporal and geographical origins of the HIV-1 subtype C in Senegal were further explored and more specifically for men who have sex with men.

MSc (Microbiology) / Department of Microbiology / Background: Antiretroviral treatment (ART) has grown to be one of the most effective tool in the fight to control HIV/AIDS morbidity and mortality worldwide. However, due to the emergence of drug resistant HIV, ART efficacy can be jeopardized. Drug resistant HIV strain has a potential of becoming a major public threat, as its limit treatment options on people living with HIV. With several findings worldwide reporting drug resistant HIV to be currently being transmitted to ART-naïve persons, measures have been taken to genotype drug resistant HIV prior to treatment initiation. However, in resource limited countries such measures are not executed especially in public sectors due to the costs associated with the required assays for genotyping. Objective: The objectives of the study was to establish a deep sequencing protocol (Next Generation Sequencing-NGS) using an Illumina MiniSeq Platform and subsequently apply it to genotype HIV in chronically infected drug naïve persons for resistance mutations and viral genotypes Methods: HIV positive Individuals without any exposure to ART (Treatment-naive) were recruited. Partial pol fragment (complete protease and ~1104bp reverse transcriptase) were amplified and purified. Libraries were prepared using Nextera XT library preparation kit, fragmented, tagmented, pooled and denatured then sequenced with Illumina MiniSeq instrument. Consensus sequences were derived, aligned and phylogenetically analysed. The Stanford HIV Drug Resistance Algorithm was used to infer the presence of drug resistant mutants, at the viral minority and majority population levels. Results and discussion: An NGS protocol to generate nucleotide sequences for drug resistance inference was established. No major drug resistance mutations were detected against protease, reverse transcriptase inhibitors in the study subjects investigated. Nevertheless, V179D change was observed in one patient (8.3%). V179D has been shown to impact a low-level resistance to NNRTI. On the other hand, several secondary and unusual mutations at known drug sites were detected even at minority threshold level of <20%. Conclusion: No major drug resistance mutations was detected in the drug naïve study population. This finding suggests that there is no risk of treatment failure to the investigated subjects, however it is important to assess the potential phenotypic v | P a g e significance of the identified secondary resistance mutations in the context of HIV-1 subtype C. The established NGS protocol should be applied in subsequent HIV drug resistance studies. / NRF