Increasing socio-economic growth and development of South Africa’s freshwater systems require continuous augmentation of water sources to meet the growing water requirements of communities and industries. Anthropogenic disturbances have caused the water quality of many freshwater systems to drastically deteriorate due to constant disposal of domestic, industrial, and agricultural waste into surface waters. Government agencies make use of biomonitoring programmes to effectively manage the countries’ freshwater resources. These programmes use a variety of biological indicators (e.g., macroinvertebrates, fish, diatoms and algal species) and physico-chemical variables to determine the state of the environment. However, attempts to use microbial community structures as bioindicators of anthropogenic perturbations are greatly neglected. This study used molecular techniques (PCR-DGGE and 454-pyrosequencing) and multivariate analysis to develop a robust monitoring technique to determine the impacts of environmental disturbances on bacterial community compositions in river systems in the North West Province. Significant contributions made by this project included the establishment of a bacterial diversity framework for South African freshwater systems that are impacted by a variety of anthropogenic activities (e.g., urban and informal settlements, agriculture and mining). Furthermore, case studies demonstrated the prevalence of specific taxa at polluted sites, as well as positive and negative associations between taxa and environmental variables and pollutants. Finally, biogeochemical cycles could be partially matched to bacterial community structures in river systems. The first part of the project included a pilot study that investigated bacterial structures in a segment of the Vaal River in response to environmental parameters using molecular techniques and multivariate analysis. The most important observations made during this study included the generation of a larger bacterial diversity dataset by pyrosequencing compared to PCR-DGGE. In addition, metagenomic and multivariate analyses provided clues about potential biogeochemical roles of different taxa. The second and third part of the project included two case studies that investigated bacterial communities in the Mooi River and Wonderfonteinspruit in response to environmental activities. Both these systems are impacted by a variety of external sources such as urban and informal settlements, agriculture, and mining. The results demonstrated that perturbations nearby the Mooi River and Wonderfonteinspruit caused the overall water quality to deteriorate which in turn had a profound impact on bacterial community composition. Bacterial community structures at reference/control sites (Muiskraal and Turffontein dolomitic eye) had overall high species diversity (richness and evenness), whereas polluted sites showed lower species diversity and were dominated by the Beta- and Gammaproteobacteria, Bacteroidetes, and Verrucomicrobia. In addition, various potential pathogens (e.g. Eschirichia/Shigella, Legionella, Staphylococcus, Streptococcus etc.) were identified at impacted sites. Multivariate analysis suggested that bacterial communities and certain taxa (Malikia, Algoriphagus, Rhodobacter, Brevundimonas and Sphingopyxis) at polluted sites were mainly impacted by temperature, pH, nutrient levels, and heavy metals. Finally, the proportion of nitrogen and sulphur bacteria corresponded well with the nitrogen and sulphur levels measured in the Wonderfonteinspruit. Based on these results, it was concluded that bacterial community structures might provide a good indicator of anthropogenic disturbances in freshwater systems and may be incorporated into biomonitoring programs. / PhD (Environmental Sciences), North-West University, Potchefstroom Campus, 2015

Increasing socio-economic growth and development of South Africa’s freshwater systems require continuous augmentation of water sources to meet the growing water requirements of communities and industries. Anthropogenic disturbances have caused the water quality of many freshwater systems to drastically deteriorate due to constant disposal of domestic, industrial, and agricultural waste into surface waters. Government agencies make use of biomonitoring programmes to effectively manage the countries’ freshwater resources. These programmes use a variety of biological indicators (e.g., macroinvertebrates, fish, diatoms and algal species) and physico-chemical variables to determine the state of the environment. However, attempts to use microbial community structures as bioindicators of anthropogenic perturbations are greatly neglected. This study used molecular techniques (PCR-DGGE and 454-pyrosequencing) and multivariate analysis to develop a robust monitoring technique to determine the impacts of environmental disturbances on bacterial community compositions in river systems in the North West Province. Significant contributions made by this project included the establishment of a bacterial diversity framework for South African freshwater systems that are impacted by a variety of anthropogenic activities (e.g., urban and informal settlements, agriculture and mining). Furthermore, case studies demonstrated the prevalence of specific taxa at polluted sites, as well as positive and negative associations between taxa and environmental variables and pollutants. Finally, biogeochemical cycles could be partially matched to bacterial community structures in river systems. The first part of the project included a pilot study that investigated bacterial structures in a segment of the Vaal River in response to environmental parameters using molecular techniques and multivariate analysis. The most important observations made during this study included the generation of a larger bacterial diversity dataset by pyrosequencing compared to PCR-DGGE. In addition, metagenomic and multivariate analyses provided clues about potential biogeochemical roles of different taxa. The second and third part of the project included two case studies that investigated bacterial communities in the Mooi River and Wonderfonteinspruit in response to environmental activities. Both these systems are impacted by a variety of external sources such as urban and informal settlements, agriculture, and mining. The results demonstrated that perturbations nearby the Mooi River and Wonderfonteinspruit caused the overall water quality to deteriorate which in turn had a profound impact on bacterial community composition. Bacterial community structures at reference/control sites (Muiskraal and Turffontein dolomitic eye) had overall high species diversity (richness and evenness), whereas polluted sites showed lower species diversity and were dominated by the Beta- and Gammaproteobacteria, Bacteroidetes, and Verrucomicrobia. In addition, various potential pathogens (e.g. Eschirichia/Shigella, Legionella, Staphylococcus, Streptococcus etc.) were identified at impacted sites. Multivariate analysis suggested that bacterial communities and certain taxa (Malikia, Algoriphagus, Rhodobacter, Brevundimonas and Sphingopyxis) at polluted sites were mainly impacted by temperature, pH, nutrient levels, and heavy metals. Finally, the proportion of nitrogen and sulphur bacteria corresponded well with the nitrogen and sulphur levels measured in the Wonderfonteinspruit. Based on these results, it was concluded that bacterial community structures might provide a good indicator of anthropogenic disturbances in freshwater systems and may be incorporated into biomonitoring programs. / PhD (Environmental Sciences), North-West University, Potchefstroom Campus, 2015

BACKGROUND:Next-generation DNA sequencing (NGS) technologies have made huge impacts in many fields of biological research, but especially in evolutionary biology. One area where NGS has shown potential is for high-throughput sequencing of complete mtDNA genomes (of humans and other animals). Despite the increasing use of NGS technologies and a better appreciation of their importance in answering biological questions, there remain significant obstacles to the successful implementation of NGS-based projects, especially for new users.RESULTS:Here we present an 'A to Z' protocol for obtaining complete human mitochondrial (mtDNA) genomes - from DNA extraction to consensus sequence. Although designed for use on humans, this protocol could also be used to sequence small, organellar genomes from other species, and also nuclear loci. This protocol includes DNA extraction, PCR amplification, fragmentation of PCR products, barcoding of fragments, sequencing using the 454 GS FLX platform, and a complete bioinformatics pipeline (primer removal, reference-based mapping, output of coverage plots and SNP calling).CONCLUSIONS:All steps in this protocol are designed to be straightforward to implement, especially for researchers who are undertaking next-generation sequencing for the first time. The molecular steps are scalable to large numbers (hundreds) of individuals and all steps post-DNA extraction can be carried out in 96-well plate format. Also, the protocol has been assembled so that individual 'modules' can be swapped out to suit available resources.

<p>Advances in sequencing technologies constantly improves the throughput andaccuracy of sequencing instruments. Together with this development comes newdemands and opportunities to fully take advantage of the massive amounts of dataproduced within a sequence run. One way of doing this is by analyzing a large set ofsamples in parallel by pooling them together prior to sequencing and associating thereads to the corresponding samples using DNA sequence tags. Amplicon sequencingis a common application for this technique, enabling ultra deep sequencing andidentification of rare allelic variants. However, a common problem for ampliconsequencing projects is formation of unspecific PCR products and primer dimersoccupying large portions of the data sets.</p><p>This thesis is based on two papers exploring these new kinds of possibilities andissues. In the first paper, a method for including thousands of samples in the samesequencing run without dramatically increasing the cost or sample handlingcomplexity is presented. The second paper presents how the amount of high qualitydata from an amplicon sequencing run can be maximized.</p><p>The findings from the first paper shows that a two-tagging system, where the first tagis introduced by PCR and the second tag is introduced by ligation, can be used foreffectively sequence a cohort of 3500 samples using the 454 GS FLX Titaniumchemistry. The tagging procedure allows for simple and easy scalable samplehandling during sequence library preparation. The first PCR introduced tags, that arepresent in both ends of the fragments, enables detection of chimeric formation andhence, avoiding false typing in the data set.</p><p>In the second paper, a FACS-machine is used to sort and enrich target DNA covered emPCR beads. This is facilitated by tagging quality beads using hybridization of afluorescently labeled target specific DNA probe prior to sorting. The system wasevaluated by sequencing two amplicon libraries, one FACS sorted and one standardenriched, on the 454 showing a three-fold increase of quality data obtained.</p> / QC20100907

This dissertation examines the microbial and functional diversity in Kartchner Caverns, a limestone cave in Arizona, USA. Kartchner is highly oligotrophic due to the lack of photosynthesis and the limited inputs of organic material from the surface. This characteristic poses a challenge for microbial life in the cave. The first objective of this work was to evaluate the bacterial richness, diversity and taxonomic composition of speleothems surfaces within Kartchner Caverns in order to gain insight into the distribution patterns associated with these communities. Secondly, the metabolic strategies used by cave communities to survive harsh cave conditions were investigated based on phylogenetic associations and metagenomics. Both objectives were directed toward answering the questions "who are there?" and "what are they doing?". The 454-pyrotag analysis of the V6 region of the 16S rRNA gene revealed an unexpectedly high bacterial diversity with each speleothem supporting a unique bacterial community profile. A focused study on one room of the cave revealed three community types: Type 1 was dominated by the phylum Proteobacteria; Type 2 by Actinobacteria; and Type 3 by Acidobacteria. Phylogenetic associations of the sequences generated by the 454 sequencing and by a Sanger clone library suggested cave microbial communities are supported by chemoautotrophic activities such as nitrite and iron oxidation. Results from the phylogenetic associations guided the metagenomic analysis which supports the presence of chemoautotrophic activities in the cave. Genes for two complete CO2 fixation mechanisms, the Calvin-Benson-Bashan and the rTCA cycles were identified in the cave metagenome, as well as genes for ammonia and nitrite oxidation. These genes are associated with both Bacteria and Archaea suggesting members of both domains are acting as primary producers in the cave ecosystem. Comparative analysis of cave samples to other environments suggests an overabundance of DNA repair mechanisms which could be potentially used by cave communities to overcome the toxicity due to high concentrations of calcium on the speleothem surfaces. This work provides the first comprehensive analysis of the microbial diversity and potential strategies used by microbial communities to survive under the extreme conditions found in a semi-arid limestone cave environment.

<p>Rising atmospheric CO2 concentration, currently about 390 ppm, causes climate change and is expected to reach 500 ppm or higher this century due to human activities. Soils are the largest terrestrial pool of carbon, and changes in soil carbon storage due to plant and microbial activities could affect atmospheric CO2 levels. This dissertation studies soil carbon and microbial responses to an experimental preindustrial-to-future CO2 gradient (250-515 ppm) in a grassland ecosystem. Two contrasting soil types are studied in the gradient, providing insight on how natural ecosystem variation modifies CO2 effects.</p><p>Although total soil organic carbon (SOC) did not change with CO2 treatment after four growing seasons, fast-cycling SOC pools did respond to CO2, particularly in the black clay soil. Microbial biomass increased 18% and microbial activity increased 30% across the CO2 gradient in the black clay, but neither factor changed with CO2 in the sandy loam. Similarly a one-year laboratory soil incubation showed that a fast-cycling SOC pool increased 75% across the CO2 gradient in the black clay. Size fractionation of SOC showed that coarse POM-C, the youngest and most labile fraction, increased four-fold across the CO2 gradient in the black clay, while it increased 50% across the gradient in the sandy loam. CO2 enrichment in this grassland increased the fast-cycling soil organic carbon pool as in other elevated CO2 studies, but only in the black clay soil.</p><p>CO2 also induced changes in microbial community composition, and we explored the functional consequences in a microcosm experiment. Soil collected in the third growing season of CO2 treatment was used to inoculate Indiangrass seedlings grown in the lab. The elevated CO2 soil inoculum had higher microbial biomass C/N (C/N = 21) than the subambient CO2 soil inoculum (C/N = 16), suggesting a difference in community composition. Mean plant height in elevated CO2 soil inoculum (475 ppm) was 57% greater than in subambient CO2 soil inoculum (300 ppm), but the difference was not statistically significant. Similarly, total leaf N from plants in elevated CO2 soil was 28% greater on average than in subambient CO2 soil, but not significantly different. CO2-induced microbial effects on plant growth were either negligible or occurred at finer microbial taxonomic levels, making them difficult to resolve at the whole-community level.</p><p>Soil fungi decompose soil organic matter, and studying fungal community responses to CO2 could improve our understanding of soil carbon responses. We studied fungal communities in the CO2 gradient using Sanger sequencing and pyrosequencing of rDNA. As in our soil C study, fungal community responses to CO2 were mostly linear, and occurred mostly in the black clay soil. Fungal species richness increased linearly with CO2 treatment in the black clay. The relative abundance of Chytridiomycota (chytrids) increased linearly with CO2 in the black clay, while the relative abundance of Glomeromycota (arbuscular mycorrhizal fungi) increased linearly with CO2 in the sandy loam. Increased labile C availability at elevated CO2 and/or decreased inorganic N may explain the increase in fungal species richness and Chytridiomycota abundance in the black clay, while increased P limitation may explain the stimulation of Glomeromycota at elevated CO2 in the sandy loam. Across both soils, fungal species richness increased linearly with soil respiration, an index of decomposition rate (p = 0.01, R2 = 0.46). Adding fungal species may have improved decomposition efficiency, but it is also possible that species richness and decomposition increased due to another factor such as C quantity. Soil type strongly structured both fungal community and arbuscular mycorrhizal fungal community composition.</p><p>Together, these studies suggest that soil C and fungal community responses to CO2 were mostly linear, and were most apparent in the black clay soil. Soil type strongly influenced fungal community composition as well as which phyla responded to CO2. Therefore, soil type could be a useful addition to predictions of soil carbon and microbial responses to future CO2 levels.</p> / Dissertation

La symbiose mycorhizienne est une interaction mutualiste formée entre les racines des plantes terrestres et des champignons du sol. Les changements morphoanatomiques associés au développement de cette symbiose sont accompagnés de modifications dans la régulation de l'expression génique. L'étude des profils transcriptomiques est donc fondamentale afin de caractériser les mécanismes moléculaires gouvernant la symbiose mycorhizienne. Le développement récent des approches de transcriptomique à haut débit offre de nouvelles perspectives pour la compréhension de ces mécanismes. Le travail entrepris dans le cadre de ce projet de thèse visait à caractériser in silico le transcriptome symbiotique du champignon ectomycorhizien Tuber melanosporum et du champignon endomycorhizien Glomus intraradices. Il s'agissait de mettre en place les outils et les protocoles bioinformatiques permettant l'exploitation des données transcriptomiques issues des nouvelles technologies de séquençage, afin de caractériser les transcrits exprimés par les symbiotes et d'identifier les gènes régulés au cours de la symbiose. Ce travail original a permis de souligner l'existence de traits communs aux profils d'expression des champignons mycorhiziens. De plus, la caractérisation du transcriptome de G. intraradices a permis d'établir le premier répertoire de gènes à l'échelle du génome pour un champignon endomycorhizien. Cette étude de génomique contribue à l'amélioration des connaissances sur les processus moléculaires qui sous-tendent la symbiose mycorhizienne et constitue une ressource unique pour de futures recherches sur les réseaux de gènes contrôlant la symbiose / Mycorrhizal symbiosis is a mutualistic interaction involving roots of terrestrial plants and soil fungi. Morphological changes associated with the development of this symbiosis are accompanied by changes in gene expression. The study of transcriptomic profiles is thus essential to characterize the molecular mechanisms that govern the mycorrhizal symbiosis. The recent development of high-throughput transcriptomic approaches provides new insights for the understanding of these mechanisms. The work undertaken during this thesis aimed to characterize in silico the transcriptome of the ectomycorrhizal fungus Tuber melanosporum and the endomycorrhizal fungus Glomus intraradices. In order to characterize transcripts expressed by the symbionts and to identify genes regulated during symbiosis, bioinformatic tools and protocols were implemented to process transcriptomic data derived from new sequencing technologies. This work has allowed to highlight common features in the expression profiles of mycorrhizal fungi. In addition, characterization of the G. intraradices transcriptome has allowed to establish the first genome-wide repertoire of genes for an endomycorrhizal fungus. The study helps to improve knowledge about the molecular processes underlying the mycorrhizal symbiosis and provides a unique resource for future research on the gene networks controlling symbiosis

The fern genus Pteridium comprises a number of closely related species distributed throughout the world. Collectively they are called bracken ferns and have historically been treated as a single species, Pteridium aquilinum. Bracken is notorious as a toxic weed that colonizes open fields and poisons livestock. Bracken is also easily cultured and has become one of the most intensively studied ferns. Bracken has been used as a model system for the study of the fern life cycle, fern gametophyte development, the pheromonal mechanism of sex determination, toxicology, invasion ecology, and climate change. This dissertation places bracken within a global evolutionary perspective and establishes bracken as an emerging system for evolutionary genomics in ferns. Bracken samples from around the world were examined for chloroplast DNA variation to infer historical phylogenetic and biogeographic evolutionary events. New high-throughput DNA sequencing technologies and bioinformatic approaches were used to determine the complete chloroplast genome sequence in bracken, to identify novel RNA editing sites in chloroplast transcripts, and to identify gene sequences that are expressed in the gametophyte stage of the fern life cycle. These data represent an important genomic resource in ferns and were examined within a functional and evolutionary perspective. Several novel approaches and analyses were developed in the course of this research. Results presented in this dissertation provide novel insights into fern biology and land plant evolution.

The concept of the gene has been constantly challenged by new discoveries in the life sciences. Recent challenging observations include the high frequency of alternative splicing events and the common transcription of non-protein-coding-RNAs (ncRNAs) from the genome. The latter has long been considered noise in biological systems. Multiple lines of evidence from genomic studies indicate that alternative splicing and ncRNA play important roles in expanding proteome diversity in eukaryotes. Here, the aim is to find the link between alternative splicing and ncRNAs by studying the expression profile of the spliceosomal snRNAs (U snRNA). Spliceosomal snRNAs are essential for pre-mRNA splicing in eukaryotes. They participate in splice site selection, recruitment of protein factors and catalyzing the splicing reaction. Because of this, both the abundance and diversity of U snRNAs were expected to be large. In our study we deeply analyzed the U snRNA population in primates using a combination of bioinformatical, biochemical and high throughput sequencing approaches. This transcriptome profiling has revealed that human, chimpanzee and rhesus have similar U snRNA populations, i.e. the vast majority of U snRNAs originate from few well-defined gene loci and the heterogeneity observed in U snRNA populations was largely due to the presence of SNPs at these loci. It seems that the gene loci that could potentially encode a significantly heterogeneous population of U snRNAs are mostly silent. Only few minority transcripts were detected in our study, and among them three U1-like snRNAs might play a role in the regulation of alternative splicing by recognizing non-canonical splicing sites. Mutations of U snRNA have been shown to impact the splicing process. Therefore, our study provides a reference to study the biological significance of SNPs in U snRNA genes and their association with diseases.

Carrion decomposition is an essential ecosystem function as it is an important component of nutrient cycling. Carrion decomposition has primarily been attributed to insect consumption, with little attention given to microbial communities or their potential interactions with insects. The first objective was to use passive insect-trapping methods to assess primary colonizer communities on swine carcasses between two treatments: 1) carrion with access to insects and 2) carrion excluded from insect access for five days using exclusion cages. Despite similarities between succession patterns within each treatment, carcasses initially exposed to insects had significantly fewer insect taxa. Therefore, collections of adult insect communities associated with carrion are promising as an indication of whether or not there has been a delay in insect colonization of a resource. There has yet to be a study documenting bacterial communities during carrion decomposition. The second objective was to describe bacterial community succession and composition during decomposition in the presence and absence of naturally occurring insects. Total genomic DNA was used to identify bacterial community composition via a modified bacterial tagged encoded FLX amplicon pyrosequencing. I obtained 378,904 sequences and documented distinct bacterial community successional trajectories associated with insect access and exclusion carcasses. By the fifth day of decomposition, Proteus was the dominant (72%) bacterial genus on exclusion carcasses while Psychrobacillus (58%) and Ignatzschineria (18%) were dominant bacterial genera on insect carcasses. These data are the first to document bacterial community composition and succession on carrion. My final objective was to assess microbial community function in response to carrion insect colonization using metabolic profiling. I characterized microbial community metabolic function in the presence and absence of the primary necrophagous insects. I documented significant microbial community metabolic profile changes during active decomposition of carcasses. Mean carcass microbial community metabolic function with insect access continuously decreased over decomposition during both field seasons. Thus demonstrating microbial metabolic activity may have discriminatory power to differentiate early and late stages of decomposition. Overall, my data contributes to an understudied area of microbial research important to organic matter decomposition, forensic entomology, and microbial-insect ecological interactions.