In forensic sciences, the serological methods used to determine which body fluid was collected from the crime scene are merely presumptive or labor intensive since they rely on protein detection or on microscopic identification of cells. Given that certain forensic cases may need the precise identification of a body fluid to determine criminal contact, such is the example of a suspected sexual assault of a minor; certainty in the body fluid of origin may depict a precise picture of the events. The identification of loci that show differences in methylation according to the tissue of origin can aid forensic analysts in determining the origin of a DNA sample. The process of DNA methylation occurs naturally in the genome of living organisms and consists in the presence of a methyl group on the carbon 5 of a cytosine, which is typically followed by a guanine (CpG). Analyzing patterns of DNA methylation in body fluids collected from a crime scene is preferential to the analysis of proteins or mRNA since the same extracted DNA used for STR typing can be used for DNA methylation analysis. We have validated and identified loci able to discriminate blood, saliva, semen and vaginal epithelia. In the current study, we have also established the minimum amount of DNA able to provide reliable results using methodologies such as pyrosequencing and high-resolution melt (HRM) analysis for the different markers identified. Lastly, we performed an alternative bioinformatic analysis of data collected using an array that studied methylation in over 450,000 individual cytosines on the human genome. We were able to sort the locations that showed potentially higher methylation differences between body fluids and investigated over 100 of them using HRM analysis. The results of that study, allowed the identification of three new loci able to distinguish blood and two new loci able to distinguish saliva and vaginal epithelia, respectively. The use of DNA methylation patterns to aid forensic investigations started with a publication in 2010, therefore each small contribution such as this work may, similarly to what occured in the biochemistry field, result in the discovery of a method able to put the technology in the hands of forensic analysts.

<p>The aim of this study was to investigate the genetic diversity of the SLC22A1 gene and to deduce its possible pharmacogenetic implications within the Cape Coloured population of South&nbsp / Africa / a uniquely admixed population of immigrant Europeans, Asians and the indigenous populations. Recent studies have reported an abundance of polymorphic variants within this solute&nbsp / carrier transporter gene encoding for the organic cation transporter 1, as well as evidence linking these variants to an effect on metformin uptake. This study included establishing baseline&nbsp / frequency distribution of previously reported alleles for 20 SNP variants within the SLC22A1 gene, as well as the development of SNaPshot&reg / and Multiplex AS-PCR genotyping assays, and&nbsp / also exploring the possibility of using High-resolution melt (HRM) analysis as a costeffective alternative for SNP genotyping. Ethics clearance was obtained from the Ethics Committee of the&nbsp / University of the Western Cape. Biological samples in the form of buccal (oral) swabs were collected from 132 unrelated voluntary donors from the Cape Coloured population residing in the&nbsp / Cape Metropolitan area. Two SNaPshot&reg / Multiplex Systems were specifically designed for the study,successfully optimized and used for genotyping. Hundred genetic profiles were then generated for a total of 20 SNP variants on SLC22A1 gene, using this primer extension-based genotyping method that enables multiplexing up 10 SNPs. Population genetics data obtained for&nbsp / the investigated SNPs were analysed using various statistical analysis software. Important population genetic parameters were calculated, and possible pharmacogenetics implications were then discussed. Among others, allelic and genotypic frequencies, as well as linkage disequilibrium were determined and compared with world populations. Minor deviation from Hardy- Weinberg equilibrium was observed in the Cape Coloured population. No significantLinkage Disequilibrium between the investigated SNPs was observed in this population. A Multiplex allele specific &ndash / PCR (MAS-PCR) genotyping&nbsp / system was successfully designed and optimized for the genotyping of 10 SNPs from the SLC22A1. This system, also developed specifically for this study, was made of 2 multiplexes each covering 5 SNPs. It is an inexpensive genotyping assay that allows for efficient discrimination of SNP polymorphisms in one reaction tube with standard PCR conditions. A pilot study was&nbsp / conducted to explore the possibility of using High-resolution melt (HRM) analysis as a cost-effective alternative for SNP genotyping. In addition to genotyping, HRM analysis can be used to scan&nbsp / large numbers of samples for novel genetic variations.&nbsp / </p>

<p>The aim of this study was to investigate the genetic diversity of the SLC22A1 gene and to deduce its possible pharmacogenetic implications within the Cape Coloured population of South&nbsp / Africa / a uniquely admixed population of immigrant Europeans, Asians and the indigenous populations. Recent studies have reported an abundance of polymorphic variants within this solute&nbsp / carrier transporter gene encoding for the organic cation transporter 1, as well as evidence linking these variants to an effect on metformin uptake. This study included establishing baseline&nbsp / frequency distribution of previously reported alleles for 20 SNP variants within the SLC22A1 gene, as well as the development of SNaPshot&reg / and Multiplex AS-PCR genotyping assays, and&nbsp / also exploring the possibility of using High-resolution melt (HRM) analysis as a costeffective alternative for SNP genotyping. Ethics clearance was obtained from the Ethics Committee of the&nbsp / University of the Western Cape. Biological samples in the form of buccal (oral) swabs were collected from 132 unrelated voluntary donors from the Cape Coloured population residing in the&nbsp / Cape Metropolitan area. Two SNaPshot&reg / Multiplex Systems were specifically designed for the study,successfully optimized and used for genotyping. Hundred genetic profiles were then generated for a total of 20 SNP variants on SLC22A1 gene, using this primer extension-based genotyping method that enables multiplexing up 10 SNPs. Population genetics data obtained for&nbsp / the investigated SNPs were analysed using various statistical analysis software. Important population genetic parameters were calculated, and possible pharmacogenetics implications were then discussed. Among others, allelic and genotypic frequencies, as well as linkage disequilibrium were determined and compared with world populations. Minor deviation from Hardy- Weinberg equilibrium was observed in the Cape Coloured population. No significantLinkage Disequilibrium between the investigated SNPs was observed in this population. A Multiplex allele specific &ndash / PCR (MAS-PCR) genotyping&nbsp / system was successfully designed and optimized for the genotyping of 10 SNPs from the SLC22A1. This system, also developed specifically for this study, was made of 2 multiplexes each covering 5 SNPs. It is an inexpensive genotyping assay that allows for efficient discrimination of SNP polymorphisms in one reaction tube with standard PCR conditions. A pilot study was&nbsp / conducted to explore the possibility of using High-resolution melt (HRM) analysis as a cost-effective alternative for SNP genotyping. In addition to genotyping, HRM analysis can be used to scan&nbsp / large numbers of samples for novel genetic variations.&nbsp / </p>

Magister Scientiae - MSc / The aim of this study was to investigate the genetic diversity of the SLC22A1 gene and to deduce its possible pharmacogenetic implications within the Cape Coloured population of South Africa; a uniquely admixed population of immigrant Europeans, Asians and the indigenous populations. Recent studies have reported an abundance of polymorphic variants within this solute carrier transporter gene encoding for the organic cation transporter 1, as well as evidence linking these variants to an effect on metformin uptake. This study included establishing baseline frequency distribution of previously reported alleles for 20 SNP variants within the SLC22A1 gene, as well as the development of SNaPshot® and Multiplex AS-PCR genotyping assays, and also exploring the possibility of using High-resolution melt (HRM) analysis as a costeffective alternative for SNP genotyping. Ethics clearance was obtained from the Ethics Committee of the University of the Western Cape. Biological samples in the form of buccal (oral) swabs were collected from 132 unrelated voluntary donors from the Cape Coloured population residing in the Cape Metropolitan area. Two SNaPshot® Multiplex Systems were specifically designed for the study,successfully optimized and used for genotyping. Hundred genetic profiles were then generated for a total of 20 SNP variants on SLC22A1 gene, using this primer extension-based genotyping method that enables multiplexing up 10 SNPs. Population genetics data obtained for the investigated SNPs were analysed using various statistical analysis software. Important population genetic parameters were calculated, and possible pharmacogenetics implications were then discussed. Among others, allelic and genotypic frequencies, as well as linkage disequilibrium were determined and compared with world populations. Minor deviation from Hardy- Weinberg equilibrium was observed in the Cape Coloured population. No significantLinkage Disequilibrium between the investigated SNPs was observed in this population. A Multiplex allele specific – PCR (MAS-PCR) genotyping system was successfully designed and optimized for the genotyping of 10 SNPs from the SLC22A1. This system, also developed specifically for this study, was made of 2 multiplexes each covering 5 SNPs. It is an inexpensive genotyping assay that allows for efficient discrimination of SNP polymorphisms in one reaction tube with standard PCR conditions. A pilot study was conducted to explore the possibility of using High-resolution melt (HRM) analysis as a cost-effective alternative for SNP genotyping. In addition to genotyping, HRM analysis can be used to scan large numbers of samples for novel genetic variations. / South Africa

Molecular biological methods are fast and efficient tool for the identification of microorganisms in real samples. The aim of this diploma thesis was analysis of microflora in control and contaminated brined cheeses. DNA isolated from analyzed samples was used to optimize the PCR course using primers with GC clamp on the distribution of amplicons using DGGE. DGGE products were reamplified after optimization and prepared for DNA sequencing. DNA isolated from analyzed samples was used in real-time PCR with high resolution melt analysis of the amplicons (HRMA). Samples of cheese and bacterial cultures isolated from cheeses were compared by DGGE and HRMA. Comparing the position of the amplicons was found that contaminants may be Bacillus licheniformis, Staphylococcus epidermidis, and Acinetobacter baumanii/ calcoaceticus. Sequence analysis of cheese and pickles amplicons, the presence of Bacillus sp. and other microorganisms spree in five genera were detected. Representatives of the tree genera were cultured. It is considered contamination Bacillus sp., or microorganisms which are not culturable methods used. The method is suitable for the analysis of complex microflora in cheese and pickles after further optimization.

Campylobacter jejuni is the commonest cause of bacterial foodborne gastroenteritis in industrialised countries. Despite its significance, it remains unclear how C. jejuni is disseminated in the environment, whether particular strains are more pathogenic than others, and by what routes this bacterium is transmitted to humans. One major factor hampering this knowledge is the lack of a standardised method for fingerprinting C. jejuni. Therefore, the overall aim of this project was to develop systematic and novel genotyping methods for C. jejuni. Chapter Three describes the use of single nucleotide polymorphisms (SNPs) derived from the multilocus sequence typing (MLST) database of C. jejuni and the closely related Campylobacter coli for genotyping these pathogens. The MLST database contains DNA sequence data for over 4000 strains, making it the largest comparative database available for these organisms. Using the in-house software package "Minimum SNPs", seven SNPs were identified from the C. jejuni/C. coli MLST database that gave a Simpson's Index of Diversity (D), or resolving power, of 0.98. An allele-specific real-time PCR method was developed and tested on 154 Australian C. jejuni and C. coli isolates. The major advantage of the seven SNPs over MLST is that they are cheaper, faster and simpler to interrogate than the sequence-based MLST method. When the SNP profiles were combined with sequencing of the rapidly evolving flaA short variable region (flaA SVR) locus, the genotype distributions were comparable to those obtained by MLST-flaA SVR. Recent technological advances have facilitated the characterisation of entire bacterial genomes using comparative genome hybridisation (CGH) microarrays. Chapter Four of this thesis explores the large volume of CGH data generated for C. jejuni and eight binary genes (genes present in some strains but absent in others) were identified that provided complete discrimination of 20 epidemiologically unrelated strains of C. jejuni. Real-time PCR assays were developed for the eight binary genes and tested on the Australian isolates. The results from this study showed that the SNP-binary assay provided a sufficient replacement for the more laborious MLST-flaA SVR sequencing method. The clustered regularly interspaced short palindromic repeat (CRISPR) region is comprised of tandem repeats, with one half of the repeat region highly conserved and the other half highly diverse in sequence. Recent advances in real-time PCR enabled the interrogation of these repeat regions in C. jejuni using high-resolution melt differentiation of PCR products. It was found that the CRISPR loci discriminated epidemiologically distinct isolates that were indistinguishable by the other typing methods (Chapter Five). Importantly, the combinatorial SNP-binary-CRISPR assay provided resolution comparable to the current 'gold standard' genotyping methodology, pulsed-field gel electrophoresis. Chapter Six describes a novel third module of "Minimum SNPs", 'Not-N', to identify genetic targets diagnostic for strain populations of interest from the remaining population. The applicability of Not-N was tested using bacterial and viral sequence databases. Due to the weakly clonal population structure of C. jejuni and C. coli, Not-N was inefficient at identifying small numbers of SNPs for the major MLST clonal complexes. In contrast, Not-N completely discriminated the 13 major subtypes of hepatitis C virus using 15 SNPs, and identified binary gene targets superior to those previously found for phylogenetic clades of C. jejuni, Yersinia enterocolitica and Clostridium difficile, demonstrating the utility of this additional module of "Minimum SNPs". Taken together, the presented work demonstrates the potentially far-reaching applications of novel and systematic genotyping assays to characterise bacterial pathogens with high accuracy and discriminatory power. This project has exploited known genetic diversity of C. jejuni to develop highly targeted assays that are akin to the resolution of the current 'gold standard' typing methods. By targeting differentially evolving genetic markers, an epidemiologically relevant, high-resolution fingerprint of the isolate in question can be determined at a fraction of the time, effort and cost of current genotyping procedures. The outcomes from this study will pave the way for improved diagnostics for many clinically significant pathogens as the concept of hierarchal combinatorial genotyping gains momentum amongst infectious disease specialists and public health-related agencies.

Methicillin-resistant Staphylococcus aureus (MRSA) is an important human pathogen that is endemic in hospitals all over the world. It has more recently emerged as a serious threat to the general public in the form of community-acquired MRSA. MRSA has been implicated in a wide variety of diseases, ranging from skin infections and food poisoning to more severe and potentially fatal conditions, including; endocarditis, septicaemia and necrotising pneumonia. Treatment of MRSA disease is complicated and can be unsuccessful due to the bacterium's remarkable ability to develop antibiotic resistance. The considerable economic and public health burden imposed by MRSA has fuelled attempts by researchers to understand the evolution of virulent and antibiotic resistant strains and thereby improve epidemiological management strategies. Central to MRSA transmission management strategies is the implementation of active surveillance programs, via which unique genetic fingerprints, or genotypes, of each strain can be identified. Despite numerous advances in MRSA genotyping methodology, there remains a need for a rapid, reproducible, cost-effective method that is capable of producing a high level of genotype discrimination, whilst being suitable for high throughput use. Consequently, the fundamental aim of this thesis was to develop a novel MRSA genotyping strategy incorporating these benefits. This thesis explored the possibility that the development of more efficient genotyping strategies could be achieved through careful identification, and then simple interrogation, of multiple, unlinked DNA loci that exhibit progressively increasing mutation rates. The baseline component of the MRSA genotyping strategy described in this thesis is the allele-specific real-time PCR interrogation of slowly evolving core single nucleotide polymorphisms (SNPs). The genotyping SNP set was identified previously from the Multi-locus sequence typing (MLST) sequence database using an in-house software package named Minimum SNPs. As discussed in Chapter Three, the genotyping utility of the SNP set was validated on 107 diverse Australian MRSA isolates, which were largely clustered into groups of related strains as defined by MLST. To increase the resolution of the SNP genotyping method, a selection of binary virulence genes and antimicrobial resistance plasmids were tested that were successful at sub typing the SNP groups. A comprehensive MRSA genotyping strategy requires characterisation of the clonal background as well as interrogation of the hypervariable Staphylococcal Cassette Chromosome mec (SCCmec) that carries the β-lactam resistance gene, mecA. SCCmec genotyping defines the MRSA lineages; however, current SCCmec genotyping methods have struggled to handle the increasing number of SCCmec elements resulting from a recent explosion of comparative genomic analyses. Chapter Four of this thesis collates the known SCCmec binary marker diversity and demonstrates the ability of Minimum SNPs to identify systematically a minimal set of binary markers capable of generating maximum genotyping resolution. A number of binary targets were identified that indeed permit high resolution genotyping of the SCCmec element. Furthermore, the SCCmec genotyping targets are amenable for combinatorial use with the MLST genotyping SNPs and therefore are suitable as the second component of the MRSA genotyping strategy. To increase genotyping resolution of the slowly evolving MLST SNPs and the SCCmec binary markers, the analysis of a hypervariable repeat region was required. Sequence analysis of the Staphylococcal protein A (spa) repeat region has been conducted frequently with great success. Chapter Five describes the characterisation of the tandem repeats in the spa gene using real-time PCR and high resolution melting (HRM) analysis. Since the melting rate and precise point of dissociation of double stranded DNA is dependent on the size and sequence of the PCR amplicon, the HRM method was used successfully to identify 20 of 22 spa sequence types, without the need for DNA sequencing. The accumulation of comparative genomic information has allowed the systematic identification of key MRSA genomic polymorphisms to genotype MRSA efficiently. If implemented in its entirety, the strategy described in this thesis would produce efficient and deep-rooted genotypes. For example, an unknown MRSA isolate would be positioned within the MLST defined population structure, categorised based on its SCCmec lineage, then subtyped based on the polymorphic spa repeat region. Overall, by combining the genotyping methods described here, an integrated and novel MRSA genotyping strategy results that is efficacious for both long and short term investigations. Furthermore, an additional benefit is that each component can be performed easily and cost-effectively on a standard real-time PCR platform.

Tuberculosis remains a major public health issue globally, with an estimated 9.2 million new cases in 2006. A new threat to TB control is the emergence of drug resistant strains. These strains are harder to cure as standard anti-tuberculosis first line treatments are ineffective. Multi Drug Resistant Tuberculosis (MDR-TB) is defined as Mycobacterium tuberculosis that has developed resistance to at least rifampicin and isoniazid, and these strains now account for greater than 5% of worldwide cases. Mutations within the Rifampicin Resistance Determining Region (RRDR) of the rpoB gene are present in greater than 95% of strains that show rifampicin resistance by conventional drug susceptibility testing. As rifampicin mono resistance is extremely rare, and rifampicin resistance is usually associated with isoniaizd resistance, the RRDR region of the rpoB gene is a very useful surrogate marker for MDR-TB. Many molecular assays have been attempted based on this theory and have had varied levels of success. The three methods evaluated in this study are DNA sequencing of the rpoB, katG and inhA genes, the Genotype MTBDRplus line probe assay (Hain Lifesciences) and a novel method incorporating Real-Time PCR with High Resolution Melt analysis targeted at the RRDR using the Rotorgene 6000 (Corbett Lifesciences). The sensitivity for the detection of rifampicin resistance was far better using DNA sequencing or the commercially available line probe assay than detection by the Real-Time PCR method developed in this study.

Thesis (MSc (Genetics))--University of Stellenbosch, 2010. / Includes bibliography. / ENGLISH ABSTRACT: The first aim of this study was to reliably and rapidly detect Grapevine rupestris stem pittingassociated virus (GRSPaV) in grapevine. This was achieved by screening 94 grapevines using crude plant extracts in both quantitative and conventional reverse transcription polymerase chain reaction (RT-PCR). The second aim was to establish a technique capable of differentiating GRSPaV sequence variants. The application of this technique is for the largescale screening of diseased vines to associate sequence variants of GRSPaV with disease symptoms. Nested quantitative polymerase chain reaction and high resolution melting assays (qPCR-HRM) were developed for three regions of the GRSPaV genome (coat protein, RNAdependant RNA-polymerase and triple gene block movement protein). The qPCR-HRM technique using the high saturation dye, EvaGreen™, and the Rotor-Gene™ 6000 analyzer was validated with a panel of sixteen sequence-characterized viral isolates. Diluted RT-PCR products and cloned cDNA gave the most consistent amplification plots and dissociation profiles. RT-PCR products generated from total RNA extracts were used as template for qPCR-HRM assays and for direct sequencing of sixteen samples in the three aforementioned regions. The average amplification efficiency for qPCR was 1.52±0.04. Auto-calling of userdefine genotypes was performed at a confidence interval of 70%. Phylogenetic analysis of the three regions of the GRSPaV genome was performed with published GenBank sequences to confirm the HRM data. The dominant sequence variants found in the South African sample set radiated with Group II, reference full-length variant GRSPaV-SG1. GRSPaV-infected samples can in future be subjected to qPCR-HRM assays developed during this study. This can be performed to establish similarity to known genotypes and therefore phylogenetic groups. Mixed infection of sequence variants and quasi-species were a common occurrence. The assay will be useful in establishing correlation of specific genotypes to different phenotypical expression of viral disease. This could provide insight into the etiology of diseases associated with GRSPaV. / AFRIKAANSE OPSOMMING: Die eerste doel van hierdie studie was om die virus wat met Rupestris-stamverpitting (Grapevine rupestris stem pitting-associated virus of “GRSPaV”) in wingerd verbind is, vinnig en betroubaar op te spoor. Dit is bereik deur 94 wingerdstokke vir die teenwoordigheid van die virus te toets met beide kwantitatiewe en konvensionele trutranskripsie polimerase kettingreaksies (RT - PCR) vanaf ongesuiwerde plant-ekstraksies. Die tweede doel was die daarstelling van ’n tegniek om onderskeid te tref tussen variante van GRSPaV met verskillende nukleotiedvolgordes. Hierdie tegniek kan op groot skaal gebruik word om ge-affekteerde wingerdstokke te toets om sodoende siektesimptome met spesifieke variante van GRSPaV te verbind. Ge-neste kwantitatiewe polimerase-kettingreaksies (qPCR) en hoë-resolusie smelt-analises (HRM) is ontwikkel vir drie streke van die GRSPaV-genoom (mantelproteïen, RNS-afhanklike RNS-polimerase en trippelgeenblok bewegingsproteïen). Die tegniek van qPCR-HRM met die hoë-versadingingskleurstof EvaGreen™ en die Rotor- Gene™ 6000 ontleder se geldigheid is bevestig deur vergelyking met ’n paneel van sestien virus-isolate waarvan die volgorde reeds bepaal is. Verdunde RT-PCR-produkte en gekloneerde DNS het die mees konsekwente amplifikasie-uitstipping en dissosiasieprofiele opgelewer. RT-PCR-produkte wat vanuit totale RNS-ekstrakte verkry is, is as templaat vir qPCR-HRM-analises gebruik. Dieselfde produkte is ook gebruik, om die volgorde van sestien monsters in drie streke direk te bepaal. Die gemiddelde amplifikasiedoeltreffendheid van die qPCR was 1.52±0.04. Gebruiker-gedefinieerde genotipes is deur middel van outooproeping teen ’n vertroue-interval van 70% uitgevoer. Filogenetiese analises vir drie streke van die GRSPaV-genoom is uitgevoer met gepubliseerde GenBank-volgordes om die HRMdata te bevestig. Die dominante volgorde-variante in die stel Suid-Afrikaanse monsters het ooreengestem met Groep II, vollengte-verwysingsvariant GRSPaV-SG1. Monsters wat met GRSPaV besmet is kan in die toekoms onderwerp word aan die qPCR-HRM-analises wat in hierdie studie ontwikkel is. Dit kan uitgevoer word om ooreenkomste met bekende genotipes te bepaal, en dus ook met filogenetiese groepe. Die besmetting van plante met meer as een volgorde-variant het algemeen voorgekom. Die kwasi-spesies populasie-struktuur van die virus het ook gedurig na vore gekom. Die toets sal nuttig wees in die bepaling van korrelasies tussen spesifieke genotipes en verskillende fenotipiese voorkomste van virussiektes. Dit kan insig verleen in die etiologie van siektes wat met GRSPaV verbind word.

The rapid and accurate identification of the bacterium of the genus Lactobacillus, which are an important part of the normal gastrointestinal microflora and fermented dairy products are currently mainly used amplification methods. The aim of the study was to analyze the possibility of resolution of selected bacterial strains of the genus Lactobacillus, using the metod of polymerase chain reaction in the real time combined with high resolution melting curve analysis (qPCR HRM). It was tested five primers designed for qPCR-HRM analysis of lactic acid bacteria. The specificity of the primers was also verified simultaneously using bioinformatic analysis. On the basis of analysis of the DNA were selected as the most appropriate primers P1V1/P2V1, V3F/V3R and V6F/V6R. The suitability of the primers V3F/V3R and V6F/V6R was verified on a complex sample of food supplement from which the DNA was isolated using magnetic particles. The presence of bacteria of the genus Lactobacillus was performed using high resoluting melting analysis curves. The obtained results were in agreement with the information given by the manufacturer.