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Genome-wide association studies (GWAS) are used to identify genetic markers linked with at least partially heritable diseases or phenotypes without prior knowledge of any disease-associated genetic loci. In summer 2008, all individuals of the population based cohort Study of Health in Pomerania (SHIP) were individually genotyped using the Affymetrix Genome-Wide Human SNP Array 6.0 microarray. The aim of this work was to establish an efficient workflow for GWAS using the more than 4000 individually genotyped samples of the SHIP cohort as well as pooled samples, focusing exclusively on analyzing genetic variations based on single nucleotide polymorphisms (SNPs). Firstly, an optimal array platform for the genotyping analysis had to be chosen that detected most of the available genetic variants at a high level of accuracy. Secondly, extensive quality controls had to be performed starting from DNA extraction and including tests of the generated array data by the analysis software to obtain the most reliable data for the subsequent association studies. For the identification of loci with smaller genetic influences, individual cohorts were meta-analyzed in large nationally and internationally organized consortia (e.g. CHARGE, BPGen, HaemGen, GIANT, CKD Gen). To participate in those meta-analyses, a comparable common set of genetic data had to be generated. This was done by imputation of the data generated by individual array-based genotyping on the basis of a reference panel using chromosomal linkage information. Due to the extensive phenotype information in the SHIP study, it was possible to perform many genome-wide discovery analyses and replication studies of possible susceptibility loci in a short time once the genetic data was available and processed. This resulted in the necessity to set up an efficient workflow for storing the huge amount of genetic data, converting it into different formats readable for specific analysis software, performing the association analyses and processing the results into a human-readable and clear format. This included replications, GWAS and meta-analyses of several cohorts. Many susceptibility loci were newly identified in different association studies with the SHIP data included and were subsequently published. In this work, genetic association studies with the SHIP data included were performed and published on blood pressure, uric acid concentrations, cardiac structure and function, lipid metabolism, hematological parameters, kidney functions, smoking quantity, circulating IGF-I and IGFBP-3 concentrations and thyroid volume including the risk of goiter development. Besides the SHIP cohort, there was a need to use other, especially patient cohorts for GWAS. Since no genotype information from these patient cohorts was available and the individual genotyping of many probands is still expensive and therefore often not affordable, we established the cost-effective allelotyping method that relied on pooling of DNA samples prior to the hybridization with microarrays. After estimating the pooling-specific error of a case-control allelotyping study, the allelotyping approach was used for identifying genetic susceptibility loci associated with aggressive periodontitis. If not referring to work of collaborators, all statistical analyses, data handling and in silico work concerning the SHIP data described in this context was performed by the author of this dissertation.
Because Moringa is rich in secondary metabolites and phenolics, we faced a challenge in extracting a pure DNA required for AFLP (the first proposed genotyping method). Later, different DNA isolation methods were tested to overcome the obstacles caused by phenolics and sugars, an AFLP protocol that worked well with the cultivated seedlings at the botanical garden in Greifswald. The markers for the Internal Transcribed Spacer (ITS) were as well tested that showed a monomorphic structure between all samples. Finally, SSR (microsatellite) markers were established. To optimize DNA extraction, the method of Doyle and Doyle was modified and optimized. This is an ideal method for obtaining a non-fragmented DNA that could be used for AFLP. In addition, two other DNA extraction methods; (KingFisher Flex robot using Omega M1130 extraction Kits, and spin columns and 96-plates using Stratec kits). Although we achieved similar results for both Robot kits (Omega) and Stratec kits, the amplification for most of the samples extracted with Robot did not work, therefore the Stratec kit was the method of choice as it has also a lower cost, combined with a high quality of DNA. For ITS, no polymorphism was found for 28 samples of M. peregrina from Sinai (sequences submitted to GenBank). However, since microsatellite markers of M. peregrina were not known, it was a challenge to try a cross amplification from other species with well-known microsatellite primers. Cross-amplification of 16 primers known from the related species M. oleifera was tested, and three multiplex PCR reactions were established after testing different annealing temperatures and different primers concentrations. This included 13 primers out of the 16 investigated markers which gave a reliable band. All methods used for genetic assessments for the different Moringa species are compiled in a comparative review to look for connections between the different Moringa species. For Moringaceae, M. oleifera and M. peregrina are closely related to each other. Both species have slender trunks, with thick, tough bark and tough roots and bilaterally symmetrical flowers with a short hypanthium. All but one SSR markers used in this study are highly informative However, the degree of polymorphy varied considerably within the 13 markers used. The Probability of Identity (PI) for all loci was 2.6 x 10-9 with high resolution. The percentage of polymorphic loci for all populations was 88.5±2.2; figures for single populations were 92.3%, 84.6%, 84.6%, and 92.3% for the wadis WM, WA, WF, and WZ, respectively. The genotype accumulation curve as well demonstrated that 7–8 markers were necessary to discriminate between 100% of the multilocus genotypes. Significant departures from HWE were detected for eight loci (P < 0.001), probably due a high degree of inbreeding within population. The observed (HO) and expected (HE) heterozygosities ranged from 0 to 0.86 and from 0 to 0.81, respectively. However, for the pooled population, excluding the monomorphic locus MO41, HO and HE ranged from 0.069 to 0.742 and from 0.126 to 0.73 with averages of 0.423 and 0.469, respectively. The mean of FST was 0.133, indicating that, due to the long generation time of M. peregrina, there is still relatively little differentiation between the four remaining populations. An analysis of molecular variance (AMOVA) revealed that the old populations of M. peregrina are still genetically diverse where 75% of variance was recorded within individuals and 83% within populations. An analysis with STRUCTURE, varying the parameter K between 1 and 7, revealed the most pronounced genetic structure for K=3, thus uniting the populations from two neighboured wadis (W. Agala and W. Feiran). The three groups seem to be now genetically isolated. (They may be remainders of a formerly contiguous population, especially when considering the change towards a drier climate in Northern Africa within the last 6000 years). Six clones of each two individuals collected from the same wadi were found, pointing to vegetative dispersal via broken twigs, which may have rooted after flash floods. It may be an alternative mode of reproduction under harsh conditions. Our data reveal a low gene flow between three of the four wadis, suggesting that the trees are relictual populations. In general, conservation of populations from the three genetically most diverse wadis and cross-breeding of trees within a reforestation program is recommended as an effective strategy to ensure the survival of M. peregrina at Sinai, Egypt.
The cultivation of common reed (Phragmites australis) is one of the most promising practices of paludiculture on fen peatlands. This highly productive grass has a high adaptation capacity via high levels of genetic diversity and phenotypic plasticity. In this study, a reed experimental site established on a degraded fen in 1996/97 with a mixture of monoclonally (meristematically propagated plantlets) and polyclonally (pre-grown seedlings) planted plots was investigated by microsatellite genotyping. All nine genotypes of the monoclonal planted plots were recovered and could be genetically characterized; invasion by other genotypes was negligible. Similarly, the polyclonal plots sustained high clonal diversity with no prevalence of a single genotype. The growth characteristics of the five quantitatively investigated genotypes significantly differed from each other (α = 0.05): dry biomass per stem 5–18 g, panicles per m2 20–60, average stem diameter 3.5–6 mm, height 170–250 cm. Similarly, the persistence of genotypes at the planted plots and their invasiveness (ability to invade neighboured plots) varied. These results show that common reed stands are extremely persistent even if established with genotypes that are likely not to be locally adapted. Their genetic structure remained stable for at least 24 years regardless of the planting density (1, 4, and 10 plants per m2). Our results indicate that farmers may be able to maintain favourable genotypes for many years, thus the selection and breeding of common reed as a versatile crop for rewetted peatlands is a promising objective for paludiculture research.