Genetic polymorphisms can be seen as the occurrence of more than one form of a DNA- or protein sequence at a single locus in a group of organisms, where these different forms occur more frequently than can be attributed to mutation alone. The combination of genetic polymorphisms present in the genome of a particular individual is referred to as its genotype. A wide range of genotyping techniques have been developed to detect and visualize genetic polymorphisms. One such technique examines highly polymorphic repetitive DNA regions called microsatellites, also called “short tandem repeats” (STRs) and sometimes “simple sequence repeats” (SSRs) or “simple-sequence length polymorphisms” (SSLPs). A microsatellite region consists of a DNA sequence of identical units of usually 2-6 base pairs strung together to produce highly variable numbers of tandem repeats among individuals of a population. Microsatellite genotyping is a popular choice for many types of studies including individual identification, paternity testing, germplasm evaluation, genome mapping and diversity studies and can be used in many commercial, academic, social, and agricultural applications. There are, however, many obstacles in effectively managing and analysing microsatellite genotype data. Currently, researchers are struggling to effectively manage and analyse rapidly growing volumes of genotyping data. Management problems range from simply the lack of a secure, easily accessible central data repository to more complex issues like the merging and standardization of data from multiple sources into combined datasets. Due to these issues, genetic fingerprinting applications such as identity matching and relatedness studies can be challenging when data from different experiments or laboratories have to be combined into a central database. The main aim of this M.Sc study in Bioinformatics was to develop a bioinformatics resource for the management and analysis of genetic fingerprinting data from microsatellite marker genotyping studies, and to apply the software to the analysis of microsatellite marker data from ramets of Pinus patula clones with the purpose of analysing clonal identity in pine breeding programmes. The software resource developed here is called GenoSonic. It is a web application that provides users with a secure, easily accessible space where genotyping project data can be managed and analysed as a team. Users can upload and download large amounts of marker genotype data. Once uploaded to the system, DNA fingerprint data needs to be standardised before it can be used in further analyses. To do this, a two-step approach was implemented in GenoSonic. The first step is to assign standardized allele sizes to all of the input allele sizes of the microsatellite fingerprints automatically using a novel automated binning algorithm called CSMerge-1, which was designed specifically to bin data from multiple experiments. The second step is to manually verify the results from the automated binning function and add the verified data to a standardized dataset. Once the genetic fingerprints have been standardized, allele- and genotype frequencies can be viewed for any given marker. GenoSonic also provides functionalities for identity matching. One or more DNA fingerprints from unknown samples can be matched against a standardized dataset to establish identities or infer relatedness. Finally, GenoSonic implements a genetic distance tree construction function, which can be used to visualize relatedness among samples in a selected dataset. The bioinformatics resource developed in this study was applied to a microsatellite DNA fingerprinting project aimed at the re-establishment or confirmation of clonal identity of Pinus patula ramets from pine clonal seed orchards developed by a South African forestry company at one of their new agricultural estates in South Africa. The results from GenoSonic‟s automated binning function (CSMerge-1) and the results from the identity matching and tree construction exercise were compared to results obtained by human experts who have analysed the data manually. It was demonstrated that the results from GenoSonic equalled or surpassed the manual results in terms of accuracy and consistency, and far surpasses the manual effort in terms of the speed at which analyses could be completed. GenoSonic was developed with specific focus on reusability, and the ability to be modified or extended to solve future genotyping-related problems. This study not only provides a solution to current genotype data management and analysis needs of researchers, but is aimed at serving as a basic framework, or component library for future software development projects that may be required to address specific needs of researchers dealing with high-throughput genotyping data. / Dissertation (MSc)--University of Pretoria, 2011. / Biochemistry / unrestricted

The diagnostic value of extracellular occurring DNA (eoDNA) is limited by our lack of understanding its biological function. eoDNA exists in a number of forms, namely vesicle bound DNA, histone/DNA complexes or nucleosomes and virtosomes. These forms of DNA can also be categorized under the terms circulating DNA, cell free DNA, free DNA and extracellular DNA. The DNA can be released by means of form–specific mechanisms and seem to be governed by cell cycle phases and apoptosis. Active release is supported by evidence of energy dependant release mechanisms and various immunological– and messenger functions. Sequencing has shown that eoDNA sequences present in the nucleome reflects traits and distribution of genome sequences and are regulated by ways of release and/or clearance. eoDNA enables the horizontal transfer of gene sequences from one cell to another, over various distances. The ability of eoDNA to partake in horizontal gene transfer makes it an important facet in the field of epigenetic variation. Clinical implementation of eoDNA diagnostics requires that all of the subgroups of eoDNA be properly investigated. It is suggested that eoDNA is the result of the metabolic fraction of DNA that is released by the cell. Various observations indicate that eoDNA may also be incorporated into the genome of a cell, from where it may affect cell function. Therefore horizontal gene transfer in higher organisms is a real possibility. In this study, variations and increases in eoDNA levels over time correlate with stressors that are subjected to 143B human osteosarcoma cells. It seems viable to assume that a stressor is met by a change in the molecular machinery of a cell, required to neutralise the onset of metabolic instability. This may be done by amplification of necessary cistrons, producing metabolic DNA, that may then be observed after its release as eoDNA. The presence of hydrolysing enzymes gives an updated real time picture of the state of eoDNA. The eogenics hypothesis emanating from this study, suggests that amplification and horizontal transfer of cistrons affect tissue and organ function over long periods of time, in order for an organism to evolve one or more a specialized genomes. / Thesis (M.Sc. (Biochemistry))--North-West University, Potchefstroom Campus, 2011.

The diagnostic value of extracellular occurring DNA (eoDNA) is limited by our lack of understanding its biological function. eoDNA exists in a number of forms, namely vesicle bound DNA, histone/DNA complexes or nucleosomes and virtosomes. These forms of DNA can also be categorized under the terms circulating DNA, cell free DNA, free DNA and extracellular DNA. The DNA can be released by means of form–specific mechanisms and seem to be governed by cell cycle phases and apoptosis. Active release is supported by evidence of energy dependant release mechanisms and various immunological– and messenger functions. Sequencing has shown that eoDNA sequences present in the nucleome reflects traits and distribution of genome sequences and are regulated by ways of release and/or clearance. eoDNA enables the horizontal transfer of gene sequences from one cell to another, over various distances. The ability of eoDNA to partake in horizontal gene transfer makes it an important facet in the field of epigenetic variation. Clinical implementation of eoDNA diagnostics requires that all of the subgroups of eoDNA be properly investigated. It is suggested that eoDNA is the result of the metabolic fraction of DNA that is released by the cell. Various observations indicate that eoDNA may also be incorporated into the genome of a cell, from where it may affect cell function. Therefore horizontal gene transfer in higher organisms is a real possibility. In this study, variations and increases in eoDNA levels over time correlate with stressors that are subjected to 143B human osteosarcoma cells. It seems viable to assume that a stressor is met by a change in the molecular machinery of a cell, required to neutralise the onset of metabolic instability. This may be done by amplification of necessary cistrons, producing metabolic DNA, that may then be observed after its release as eoDNA. The presence of hydrolysing enzymes gives an updated real time picture of the state of eoDNA. The eogenics hypothesis emanating from this study, suggests that amplification and horizontal transfer of cistrons affect tissue and organ function over long periods of time, in order for an organism to evolve one or more a specialized genomes. / Thesis (M.Sc. (Biochemistry))--North-West University, Potchefstroom Campus, 2011.

The recent advent of bioinformatics has given rise to the central and recurrent problem of optimally aligning biological sequences. Many techniques have been proposed in an attempt to solve this complex problem with varying degrees of success. This thesis investigates the application of a computational intelligence technique known as particle swarm optimization (PSO) to the multiple sequence alignment (MSA) problem. Firstly, the performance of the standard PSO (S-PSO) and its characteristics are fully analyzed. Secondly, a scalability study is conducted that aims at expanding the S-PSO’s application to complex MSAs, as well as studying the behaviour of three other kinds of PSOs on the same problems. Experimental results show that the PSO is efficient in solving the MSA problem and compares positively with well-known CLUSTAL X and T-COFFEE. / Dissertation (MSc)--University of Pretoria, 2009. / Computer Science / Unrestricted

Feline babesiosis, first described in domestic cats in South Africa in 1937, is regarded to be of great importance in the coastal regions although isolated cases also occur on the eastern highlands of Mpumalanga Province. Babesia felis (described from domestic cats) and B. leo (described from lions) are the two best characterised Babesia species in felids. These two parasites are morphologically similar when examined under a light microscope, but are serologically and genetically distinct. In this study the prevalence of these two Babesia species in various wild and domestic felid species was determined. A total of 358 samples were tested using the reverse line blot hybridization (RLB) assay. This assay makes it possible to simultaneously detect and differentiate between blood parasites using DNA probes. The RLB consists of three basic steps, the first being amplification of the variable region (V4) in the 18S rRNA gene using genus-specific primers where one is labelled with biotin. This is followed by a blotting step, where the amplicons are hybridized to oligonucleotides bound to a nitrocellulose membrane. The third and last step is the detection of the hybridized amplicons by using chemiluminescence reagents. This assay is a screening tool utilizing the variable (V4) region in the 18S rRNA gene to detect and differentiate between blood parasites. A new B. felis-specific DNA probe was developed to use in the RLB assay. Results demonstrated that these two parasites not only occur in the felid species from which they have been described, but also in other felid species. Babesia microti was also detected in various felid species, while B. rossi was detected in 1 of the lion samples. Two hundred and twelve samples tested positive for Babesia spp., of which only 54.24% of the samples reacted with the genus-specific probe. This indicates the presence of a novel Babesia or Theileria species or variant of a species. / Dissertation (MSc)--University of Pretoria, 2010. / Veterinary Tropical Diseases / unrestricted

Organometallic chemotherapeutic agents, many of which target DNA, have been shown to be effective in the treatment of cancer. With that said though, these compounds have a number of side affects such as nephrotoxicity. Two novel compounds, Ferrocene [ferrocenoyltrichloroacetone] and Rhodium-ferrocene [(1.5 cyclooctadiene)(1-ferrocenyl- 4,4,4-trichloro-1,3-butanedionate], synthesised by the research group of J Swarts (University of the Free State) were evaluated to determine their mechanism of action and their potential use as novel therapeutic agents. It is hypothesized, by merit of their chemical structures, that these compounds’ anti-cancer activity is due to their interaction with DNA. Both drugs were evaluated from a cellular to a molecular level, in vitro, to validate this hypothesis. Linearised DNA was exposed to both drugs and digested with a variety of restriction enzymes. It was found that the compounds bind to the PstI restriction site; thereby inhibiting the enzyme’s restriction activity. From this point it was necessary to show that the compounds are able to interact with DNA in a cellular system. By exposing a transformed breast epithelial cell line (MCF-12A) and a cancerous breast epithelial cell line (MCF-7) to the compounds, for various times, followed by flow cytometric analyses, it was found that both affect progression through the cell cycle. Cells accumulated at various phases of the cell cycle, as a result of checkpoint gene activation. Further flow cytometric analyses showed that both drugs induce necrosis in MCF-7 cells. The “normal” cell line however did not show this response as it is believed that cell cycle arrest and repair mechanisms were initiated, which would delay cell death. Gene expression analyses were performed by reverse transcriptase real-time PCR in which panels of cell cycle related genes as well as DNA damage associated genes were probed in two separate array formats. These studies revealed that a number of DNA damage and repair genes are activated; specifically those associated with excision repair and free-radical induced DNA damage. Members of the RAD family as well as the genes GADD45A, XPC and OGG1 were found to be upregulated as a result of Ferrocene treatment. This could be expected as it was shown that ferrocene binds to DNA, and it logically then follows that this would lead to excision repair being attempted by the cell. Similar gene expression patterns were found following Rhodium-ferrocene treatment with the up-regulation of genes such as OGG1, ATM and GADD45G, albeit to a lesser extent. It is hypothesised that the larger molecule may not interact as effectively with DNA, due to steric hinderance. Arrest mechanisms, for both drugs, were more pronounced in the “normal” cell line and it is believed that this is due to the fact that many of these genes have been inactivated in the cancerous cell line. We have shown, on multiple levels, that both compounds’ therapeutic action is as a result of their interaction with the cell’s DNA. This interaction leads to cell death in both the transformed and the cancerous cell line. In order to clarify these mechanisms it is suggested that proteomic and metabolomic studies should be performed. / Dissertation (MSc)--University of Pretoria, 2012. / Genetics / unrestricted

No description available.

Of the many existing eukaryotic gene finding software programs, none are able to guarantee accurate identification of genomic protein coding regions and other biological signals central to pathway from DNA to the protein. Eukaryotic gene finding is difficult mainly due to noncontiguous and non-continuous nature of genes. Existing approaches are heavily dependent on the compositional statistics of the sequences they learn from and are not equally suitable for all types of sequences. This thesis firstly develops efficient digital signal processing-based methods for the identification of genomic protein coding regions, and then combines the optimum signal processing-based non-data-driven technique with an existing data-driven statistical method in a novel system demonstrating improved identification of acceptor splice sites. Most existing well-known DNA symbolic-to-numeric representations map the DNA information into three or four numerical sequences, potentially increasing the computational requirement of the sequence analyzer. Proposed mapping schemes, to be used for signal processing-based gene and exon prediction, incorporate DNA structural properties in the representation, in addition to reducing complexity in subsequent processing. A detailed comparison of all DNA representations, in terms of computational complexity and relative accuracy for the gene and exon prediction problem, reveals the newly proposed ?paired numeric? to be the best DNA representation. Existing signal processing-based techniques rely mostly on the period-3 behaviour of exons to obtain one dimensional gene and exon prediction features, and are not well equipped to capture the complementary properties of exonic / intronic regions and deal with the background noise in detection of exons at their nucleotide levels. These issues have been addressed in this thesis, by proposing six one-dimensional and three multi-dimensional signal processing-based gene and exon prediction features. All one-dimensional and multi-dimensional features have been evaluated using standard datasets such as Burset/Guigo1996, HMR195, and the GENSCAN test set. This is the first time that different gene and exon prediction features have been compared using substantial databases and using nucleotide-level metrics. Furthermore, the first investigation of the suitability of different window sizes for period-3 exon detection is performed. Finally, the optimum signal processing-based gene and exon prediction scheme from our evaluations is combined with a data-driven statistical technique for the recognition of acceptor splice sites. The proposed DSP-statistical hybrid is shown to achieve 43% reduction in false positives over WWAM, as used in GENSCAN.

Of the many existing eukaryotic gene finding software programs, none are able to guarantee accurate identification of genomic protein coding regions and other biological signals central to pathway from DNA to the protein. Eukaryotic gene finding is difficult mainly due to noncontiguous and non-continuous nature of genes. Existing approaches are heavily dependent on the compositional statistics of the sequences they learn from and are not equally suitable for all types of sequences. This thesis firstly develops efficient digital signal processing-based methods for the identification of genomic protein coding regions, and then combines the optimum signal processing-based non-data-driven technique with an existing data-driven statistical method in a novel system demonstrating improved identification of acceptor splice sites. Most existing well-known DNA symbolic-to-numeric representations map the DNA information into three or four numerical sequences, potentially increasing the computational requirement of the sequence analyzer. Proposed mapping schemes, to be used for signal processing-based gene and exon prediction, incorporate DNA structural properties in the representation, in addition to reducing complexity in subsequent processing. A detailed comparison of all DNA representations, in terms of computational complexity and relative accuracy for the gene and exon prediction problem, reveals the newly proposed ?paired numeric? to be the best DNA representation. Existing signal processing-based techniques rely mostly on the period-3 behaviour of exons to obtain one dimensional gene and exon prediction features, and are not well equipped to capture the complementary properties of exonic / intronic regions and deal with the background noise in detection of exons at their nucleotide levels. These issues have been addressed in this thesis, by proposing six one-dimensional and three multi-dimensional signal processing-based gene and exon prediction features. All one-dimensional and multi-dimensional features have been evaluated using standard datasets such as Burset/Guigo1996, HMR195, and the GENSCAN test set. This is the first time that different gene and exon prediction features have been compared using substantial databases and using nucleotide-level metrics. Furthermore, the first investigation of the suitability of different window sizes for period-3 exon detection is performed. Finally, the optimum signal processing-based gene and exon prediction scheme from our evaluations is combined with a data-driven statistical technique for the recognition of acceptor splice sites. The proposed DSP-statistical hybrid is shown to achieve 43% reduction in false positives over WWAM, as used in GENSCAN.

Cette thèse porte sur le développement d’un capteur plasmonique intégrant une fonction d’actuation des objets visés. L’objectif est de passer outre la limite de diffusion rencontrée à basse concentration en piégeant les particules sur la surface de détection. La stratégie adoptée est de structurer le film d’or servant à la détection de manière à pouvoir l’utiliser pour mettre en mouvement le fluide et les molécules par le biais de champs électriques. Le transfert de masse est réalisé par diélectrophorèse et électroosmose, deux effets électrocinétiques mis en oeuvre par des électrodes servant à la fois d’actuateur et de capteur plasmonique. Un état de l’art exhaustif et des simulations multiphysiques ont permis de concevoir un prototype de capteur intégré constitué d’électrodes interdigitées en or permettant la détection plasmonique. Le dispositif proposé a été obtenu par microfabrication en salle blanche puis caractérisé avant l’étude de ses performances. Une première phase de tests sur un système modèle, des billes de polystyrène dans de l’eau, a permis d’apporter la preuve de concept du fonctionnement du capteur, qui est effectivement capable de piéger rapidement les objets visés à sa surface afin de les détecter. Les mécanismes de transfert de masse ont été expliqués et la preuve de l’amélioration de la limite de détection par un facteur supérieur à 100 a été apportée. Dans un second temps, les performances du capteur appliqué à des objets biologiques ont été évaluées. Celui-ci piège efficacement des levures et des protéines, mais aucune amélioration n’a été observée dans le cas de la détection spécifique de l’hybridation entre deux brins d’acide désoxyribonucléique (ADN). Les causes de ce résultat ont été discutées et comprises et deux solutions différentes ont été explorées : l’adaptation de la fréquence d’opération et l’optimisation de la géométrie des électrodes. Ainsi, cette étude a permis de souligner la problématique de la mise en oeuvre d’effets électrocinétiques dans des milieux biologiques et de réfléchir aux pistes pertinentes pour sa résolution. / This thesis focuses on the development of an integrated plasmonic sensor capable to perform mass transport on targeted objects. The goal is to overcome the diffusion limit by trapping particules directly on the sensing surface. The adopted strategy was to structure the gold layer used for plasmonic detection in order to use the sofabricated structures to set the fluid and the molecules in motion by applying electric fields in the fluid. The mass transfer is realized through dielectrophoresis and electroosmosis, those two electrokinetic effects being operated by electrodes acting as sensor and actuator at the same time. An exhaustive state of the art as well as multiphysical simulations allowed us for designing a prototype for an integrated sensor consisting in gold interdigitated electrodes enabling plasmoninc sensing. The proposed device was obtained through microfabrication in clean room facilities and was characterized before the study of its performances. A first sequence of tests on a model system – polystyrene microbeads in water – brought the proof of concept we needed to validate the correct operation of the sensor, which is indeed capable of quickly trapping targeted objects on its surface and detecting them. The mass transfer mechanisms were explained and we showed the enhancement of the limit of detection by a factor greater than 100. In a second phase, performances of the sensor applied to biological objects were evaluated. It can effectively trap yeasts and proteins but no enhancement has been observed while detecting DNA hybridization events. Causes for this result were discussed and understood and two different solutions were explored: the adaptation of the operating frequency and the optimization of the electrodes geometry. Thus, this study highlighted the problematic of operating electrokinetic effects in biological media and suggested relevant leads towards its resolution.