>Magister Scientiae - MSc / As human beings we are curious about our origin and ancestry. A curiosity has led to an investigation of human evolution and expansion across the world by means of population genetics and phylo-genetics by evaluating a region in Southern Africa that is largely unknown. The objective of this study was to develop a quick, inexpensive and accurate hierarchical diagnostic screening system of the MtDNA phylogenetic tree, AI-SNPs in the mtDNA genome by using High Resolution Melting analysis to evaluate the population composition and ancestral haplogroups of Southern African populations in Limpopo. The admixture between the ‘Khoesan’ hunter-gatherers, herders and the Bantu speaking populations led to population growth and expansion in Limpopo. This has contributed to populations settling in Limpopo and has thus shaped the ancestral contemporary populations. No research on these individuals residing in Limpopo has been done before, thus an investigation of their ancestral origin was necessary. A total of 760 saliva samples were collected from individuals residing in Limpopo. Only 500 saliva samples were extracted by means of an optimized salting out technique. Five hundred extracted genomic samples were genotyped by means of a quick, inexpensive High-resolution melting analysis. Of the 500 samples, the genotyping results showed 95 individuals derived for the L3 haplogroup which gives a 19% ratio of individuals screened with Multiplex 1. Only 56 individuals were derived for the L1 haplogroup, which gives a percentage of 11%. A total of 249 individuals were derived for the L0 haplogroup, making up a 50% of the total individuals genotyped. Only 100 samples were derived for L0a, making up 20% of individuals screened with Multiplex 1. Of the 95 samples derived for the L3 haplogroup, the results showed 87 individuals to be ancestral for both M and N, making up 91.57% of individuals screened with Multiplex 2. http://etd.uwc.ac.za/. In population genetics using SNPs to infer population history and ancestral origin has become significant, this study allowed researchers to evaluate population groups by investigating their genetic markers and the application of the results allowed for downstream analyses. Finally, this study provides a quick and simple screening method for the selection of lineages that are of interest for further studies.

The isothermal crystallization and melting temperatures of poly(ε-caprolactone) were correlated using fast differential scanning calorimetry. The melting kinetics was found to be independent of isothermal crystallization temperature and time. The conventional Hoffman-Weeks method could not be used to determine the equilibrium melting temperature because the observed melting temperatures were greater than the crystallization temperatures by a constant, so the Gibbs-Thomson method was used instead, yielding an equilibrium melting temperature of 103.4 ± 2.3°C. A modification was proposed to the non-linear Hoffman-Weeks equation that included a non-linear undercooling dependence for the kinetic fold surface free energy upon crystallization and permitted accurate modeling of the observed melting behavior. The isothermal crystallization rates of four narrow molecular weight poly(ethylene oxide) fractions were characterized using fast differential scanning calorimetry for crystallization temperatures spanning 100°C range with the lower limit approaching the glass transition. A transition from homogeneous to heterogeneous primary nucleation was observed at −5°C. The kinetic analysis suggested that the crystal growth geometry depends strongly on temperature, where rod-like structures begin to appear near the glass transition temperature, highly branched solid sheaves grow throughout the homogeneous primary nucleation temperature range, and spherulites grow in the heterogenous primary nucleation range. Poly(δ-valerolactone) was synthesized using microwave-assisted techniques. Narrow molecular weight fractions were obtained using successive precipitation fractionation. Preliminary isothermal crystallization studies suggest that conventional thermal analysis methods are not adequate to measure the melting temperatures accurately due to reorganization during heating. / Doctor of Philosophy / Plastics may be classified into two general categories: those which form ordered domains upon solidification, i.e. undergo crystallization, and those which remain disordered upon solidification, i.e. form glasses. This work is focused on studying the crystallization and melting processes in two linear polymers, poly(ε-caprolactone) and poly(ethylene oxide), using new experimental technology. In the case of poly(ε-caprolactone), the experimental data could not be rationalized by existing theories, and we have proposed modifications to these theories that explained the results. In the case of poly(ethylene oxide), the application of new experimental technology resulted in previously unreported data that indicated novel behavior at very low crystallization temperatures. In the last portion of this work, poly(δ-valerolactone) was made using a novel approach. Conventional experimental approaches to measuring the crystallization and melting behavior were shown to be inadequate.

Cette thèse de doctorat s’inscrit dans le cadre de l’étude in silico des relations qui lient la séquence d’une protéine à sa structure, sa stabilité et sa fonction. Elle a pour objectif de permettre à terme la conception rationnelle de protéines modifiées qui restent actives dans des conditions physico chimiques non physiologiques. Nous nous sommes plus particulièrement penchés sur la stabilité thermique des protéines, qui est définie par leur température de fusion Tm au delà de laquelle leur structure n’est thermodynamiquement plus stable. Notre travail s’articule en trois grandes parties :la recherche de facteurs favorisant la thermostabilité des protéines parmi des familles de protéines homologues, la mise sur pied d’une base de données de protéines de structure et de Tm déterminées expérimentalement, de laquelle sont dérivés des potentiels statistiques dépendant de la température, et enfin la mise au point de deux outils bioinformatiques visant à prédire d’une part la Tm d’une protéine à partir de la Tm de protéines homologues et d’autre part les changements de thermostabilité d’une protéine (Tm) engendrés par l’introduction d’une mutation ponctuelle.<p><p>La première partie a pour objectif l’identification des facteurs de séquence et de structure (e.g. fréquence de ponts salins, d’interactions cation-{pi}) responsables des différentes stabilités thermiques de protéines homologues au sein de huit familles (chapitre 2). La spécificité de chaque famille ne nous a pas permis de généraliser l’impact de ces différents facteurs sur la stabilité thermique des protéines. Cependant, cette approche nous a permis de constater la multitude de stratégies différentes suivies par les protéines pour atteindre une plus grande thermostabilité.<p><p>La deuxième partie concerne le développement d’une approche originale pour évaluer l’influence de la température sur la contribution de différents types d’interactions à l’énergie libre de repliement des protéines (chapitres 3 et 4). Cette approche repose sur la dérivation de potentiels statistiques à partir d’ensembles de protéines de thermostabilité moyenne distincte. Nous avons d’une part collecté le plus grand nombre possible de protéines de structure et de Tm déterminées expérimentalement, et d’autre part développé des potentiels tenant compte de l’adaptation des protéines aux températures extrêmes au cours de leur évolution. Cette méthode originale a mis en évidence la dépendance en la température d’interactions protéiques tels les ponts salins, les interactions cation-{pi}, certains empilements hydrophobes .Elle nous a en outre permis de mettre le doigt sur l’importance de considérer la dépendance en la température non seulement des interactions attractives mais également des interactions répulsives, ainsi que sur l’importance de décrire la résistance thermique par la Tm plutôt que la Tenv, température de l’environnement de l’organisme dont elle provient (chapitre 5).<p><p>La dernière partie de cette thèse concerne l’utilisation des profils énergétiques dans un but prédictif. Tout d’abord, nous avons développé un logiciel bioinformatique pour prédire la thermostabilité d’une protéine sur la base de la thermostabilité de protéines homologues. Cet outil s’est avéré prometteur après l’avoir testé sur huit familles de protéines homologues. Nous avons également développé un deuxième outil bioinformatique pour prédire les changements de thermostabilité d’une protéine engendrés par l’introduction d’une mutation ponctuelle, en s’inspirant d’un logiciel de prédiction des changements de stabilité thermodynamique des protéines développé au sein de notre équipe de recherche. Ce deuxième algorithme de prédiction repose sur le développement d’une grande base de données de mutants caractérisés expérimentalement, d’une combinaison linéaire de potentiels pour évaluer la Tm, et d’un réseau de neurones pour identifier les coefficients de la combinaison. Les prédictions générées par notre logiciel ont été comparées à celles obtenues via la corrélation qui existe entre stabilités thermique et thermodynamique, et se sont avérées plus fiables.<p><p>Les travaux décrits dans notre thèse, et en particulier le développement de potentiels statistiques dépendant de la température, constituent une nouvelle approche très prometteuse pour comprendre et prédire la thermostabilité des protéines. En outre, nos travaux de recherche ont permis de développer une méthodologie qui pourra être adaptée à l’étude et à la prédiction d’autres propriétés physico chimiques des protéines comme leur solubilité, leur stabilité vis à vis de l’acidité, de la pression, de la salinité .lorsque suffisamment de données expérimentales seront disponibles.<p> / Doctorat en Sciences agronomiques et ingénierie biologique / info:eu-repo/semantics/nonPublished

Ces travaux de thèse concernent la conception et l'étude d'algorithmes, d'une part pourprédire les quantités thermodynamiques et la structure secondaire des ARN, d'autre part pour l'alignement de séquences.Dans une première partie, nous appliquons un algorithme de Monte-Carlo pour approximer la densité d'états d'énergie des structures secondaires d'une séquence d'ARN, ou d'une hybridation de deux molécules d'ARN données. Nous montrons d'abord que la densité estimée par notre programme est aussi bonne que la densité exacte, et le temps d'exécution de notre programme est beaucoup plus rapide. Nous calculons ensuite la température de dénaturation d'une hybridation de deux molécules d'ARN. Nous montrons que nos températures de dénaturation sont plus proches des valeurs expérimentales que celles des deux autres programmes existants.Puis, dans une deuxième partie, nous implémentons un algorithme de programmation dynamique qui engendre des structures sous-optimales, dédié principalement à la prédiction des deux structures fonctionnelles des riboswitchs. Nous appliquons d'abord notre programme sur un riboswitch TPP dans lequel nous avons réussi à détecter les deux structures fonctionnelles. Nous montrons ensuite que les structures prédites par notre programme sont plus proches de la structure réelle par rapport aux cinq autres programmes existants, sur un échantillon de riboswitch purine.Enfin, dans une troisième partie, nous présentons un algorithme de recherche des alignements sous-optimaux de séquences pour améliorer la qualité d'alignement des séquences. Nous comparons d'abord nos alignement à ceux produits par l'algorithme de Needdleman-Wunsch. Nous prédissons plus d'alignements de référrence par rapport l'algorithme de Needdleman-Wunsch. Nous calculons ensuite les fréquences des paires de bases alignées et les entropies de position spécifique dans nos alignements sous-optimaux. Nous montrons que les entropies calculées à partir de notre programme sont plus corrélées que celles des autres programmes avec les positions des paires de résidus fiablement alignées selon BAliBASE. / This thesis concerns the design and study of algorithms, on the one hand to predict the thermodynamic quantities and the secondary structure of RNA, the other for sequence alignment.In the first part, we apply a Monte Carlo algorithm to approximate the density of states for secondary structures of a given RNA sequence, and for hybridizations of two RNA sequences. We first show that the density estimated by our program is as good as the exact density, and the execution time of our program is much faster. We then calculate the melting temperature for a hybridization of two RNA sequences. We show that our melting temperatures are closer to experimental values than the other two programs.Then in the second part, we implement a dynamic programming algorithm that generates sub-optimal structures, mainly dedicated to the prediction of functional structures of riboswitchs. We first apply our program on a TPP riboswitch in which we were able to detect both functional structures. We then show that the structures predicted by our program are closer to the real structure compared to five other existing programs, on a sample of purine riboswitch.Finally, in the third part, we present a novel algorithm to produce sub-optimal pairwise alignments. We first compare our alignments to those produced by the algorithm of Needdleman-Wunsch. We predict more reference alignments than the algorithm of Needdleman-Wunsch. We then calculate the frequencies and position-specific entropies from our sub-optimal alignments. We show that entropies calculated from our program are more correlated than other programs with locations in the core block of BAliBASE reference alignments.

<p dir="ltr">Advancements in material science are accelerating technological evolution, driven by initiatives like the Materials Genome Project, which integrates computational and experi- mental strategies to expedite material discovery. In this work, we focus on the reliability of advanced materials under extreme conditions, a critical area for enhancing their technological applications.</p><p dir="ltr">Multi-principal component alloys (MPEAs) exhibit remarkable properties under extreme conditions. However, their vast compositional space makes a brute-force exploration of potential alloys prohibitive. We address this challenge by employing a Bayesian approach to explore the oxidation resistance of hundreds of alloys, applying computational techniques to accurately calculate and quantify errors in the melting temperatures of MPEAs, and investigating the compositional biases and short-range order in their nucleation behaviors.</p><p dir="ltr">Furthermore, we scrutinize the role of wide bandgap semiconductors, which are essential in high-power applications due to their superior breakdown voltage, drift velocity, and sheet charge density. The lack of lattice-matched substrates often results in strained films, which enhances piezoelectric effects crucial for device reliability. Our research advances the pre- diction of piezoelectric and dielectric responses as influenced by biaxial strain and doping in gallium nitride (GaN). Additionally, we delve into how various common defects affect the formation of trap states, significantly impacting the electronic properties of these materials. These studies offer significant advancements in understanding MPEAs and wide bandgap semiconductors under extreme conditions. We also provide foundational insights for developing robust and efficient materials essential for next-generation applications.</p>

Living cells accumulate compensatory solutes for protection against the harmful effects of extreme environmental conditions such as high salinity, temperature and desiccation. Even at high concentrations these solutes do not disrupt the normal cellular functions and at times counteract by stabilizing the cellular components. These properties of compensatory solutes have been exploited for stabilizing proteins and cells in vitro. Betaines are widespread natural compensatory solutes that have also been used in other applications such as therapeutic agents and polymerase chain reaction (PCR) enhancers. Some biomedical applications of novel synthetic analogues of natural betaines were investigated. Natural compensatory solutes are either dipolar zwitterionic compounds or polyhydroxyl compounds, and the physical basis of compensation may differ between these, so one focus was on synthetic betaines with hydroxyl substituents. The majority of the synthetic solutes stabilized different model proteins against stress factors such as high and low temperatures. The presence of hydroxyl groups improved protection against desiccation. The observed stabilization effect is not just on the catalytic activity of the enzyme, but also on its structural conformation. Synthetic compensatory solutes have a potential application as protein stabilizers. Dimethylthetin was evaluated as a therapeutic agent and found to be harmful in a sheep model. However, from the study we were able to generate a large-animal continuous ambulatory peritoneal dialysis (CAPD) model and showed that glycine betaine could be added to the dialysis fluid in chronic renal failure. Some synthetic compensatory solutes reduce the melting temperatures of DNA better than most natural solutes. Synthetic solutes were identified that have potential to enhance PCR and could replace some reagents marketed by commercial suppliers. Density, viscosity and molecular model data on the solutes showed correlations with the biochemical effects of the solutes, but no physical measurements were found that reliably predicted their potential for biotechnological applications.

Previous studies of short DNA hairpins have revealed that loop and stem sequences can significantly affect the thermodynamic stability of short DNA hairpins. Nevertheless, there has not been sufficient investigation into the pressure-temperature stability of DNA hairpins, and the current thermodynamic knowledge of DNA hairpins’ stability is limited to the temperature domain. In this work, we report the effect of hydrostatic pressure on the helix-coil transition temperature (TM) for eleven short DNA hairpins at different salt concentrations by performing UV-monitored melting. The studied hairpins form by intramolecular folding of 16-base self-complementary DNA oligo¬deoxy¬ribonucleotides. Model dependent (van’t Hoff) transition parameters such as ΔHvH and transition volume (ΔV) were estimated from analysis of optical melting transitions. Experiments revealed the ΔV for denaturation of these molecules range from -2.35 to +6.74 cm3mol-1. The difference in the volume change for this transition is related to differences in the hydration of these molecules.

Previous studies of short DNA hairpins have revealed that loop and stem sequences can significantly affect the thermodynamic stability of short DNA hairpins. Nevertheless, there has not been sufficient investigation into the pressure-temperature stability of DNA hairpins, and the current thermodynamic knowledge of DNA hairpins’ stability is limited to the temperature domain. In this work, we report the effect of hydrostatic pressure on the helix-coil transition temperature (TM) for eleven short DNA hairpins at different salt concentrations by performing UV-monitored melting. The studied hairpins form by intramolecular folding of 16-base self-complementary DNA oligo¬deoxy¬ribonucleotides. Model dependent (van’t Hoff) transition parameters such as ΔHvH and transition volume (ΔV) were estimated from analysis of optical melting transitions. Experiments revealed the ΔV for denaturation of these molecules range from -2.35 to +6.74 cm3mol-1. The difference in the volume change for this transition is related to differences in the hydration of these molecules.

Chimie dynamique: reconnaissance de nucléobases par des récepteurs synthétiques et isomérie cis-trans d'hydrazones acylées.Ce travail traite du développement des systèmes moléculaires qui peuvent s'adapter à l'addition de substances qui agissent comme un gabarit. Cette approche permet d'isoler une espèce majeure à partir d'un mélange de composés par le biais de la chimie combinatoire dynamique (CCD). La première partie de ma thèse de doctorat inclus l'utilisation d'un ADN simple brin (ADNsb) comme un gabarit pour le transfert d'information par auto-assemblage de récepteurs sans avoir besoin d'enzyme. De nouveaux récepteurs de l'adénine et de la guanine (pinces A et G) solubles dans l'eau ont été conçues dans ce but. Une approche utilisant la résonance magnétique nucléaire (RMN) a été utilisée pour déterminer l'affinité de liaison comme preuve d'une reconnaissance spécifique et efficace. Une évaluation dans l'eau par dichroïsme circulaire (CD) et mesure de la température de fusion par UV (Tm) a été réalisée. Cela a permis de tester respectivement la capacité d'auto-assemblage entre les pinces et un modèle ADNsb, et la force du processus de coopérativité. La deuxième partie de ce travail est axée sur le tri spontanné de motifs pyridine acylhydrazone et sur les configurations intéressantes qu'ils adoptent. Nous avons étudié la synthèse d'une série de motifs pyridine acylhydrazone: dimère, trimères et pentamères. Des études RMN ont permis d'évaluer les changements dans l'équilibre configurationnel cis / trans de ces systèmes dynamiques. Les études ont montré que l'équilibre attendu est biaise la cis acylhydrazone pyridine isomère a été observée par diffraction des rayons X. / Dynamic chemistry: nucleobase recognition by synthetic receptors and cis-trans acylhydrazone isomerism. This work deals with the development of molecular systems which can adapt upon the addition of substances that act as templates. This approach enables one major species to be identified from a mixture of compounds through the use of dynamic combinatorial chemistry (DCC). The first part of my PhD included the use of a single stranded DNA (ssDNA) as a template for information transfer via the self-assembly of receptors without the need for enzymes. New water soluble adenine and guanine receptors (A and G clamps) were designed and synthesised for this purpose. Nuclear magnetic resonance (NMR) titration studies were carried out to calculate the binding affinity and as a proof of specific and efficient recognition. An assessment in water via circular dichroism (CD) and UV temperature melting (Tm) studies was carried out. This tested the ability for self-assembly between the clamps and a ssDNA template and the strength of the cooperative process respectively. The second part of my PhD focused on the self-sorting of acylhydrazone pyridine motifs and the interesting configurations they adopt. The feasibility to synthesise these acylhydrazone pyridine motifs (dimer, trimers and pentamers) was investigated. X-ray and NMR studies showed that the equilibrium was found to be biased in an unusual way, and the cis acylhydrazone pyridine isomer was observed.