Nitrification is the biological process whereby ammonia is converted first to nitrite by ammonia-oxidizing bacteria, and then the nitrite is subsequently converted to nitrate by nitrite-oxidizing bacteria. Ammonia and nitrite levels are closely monitored during treatment of wastewater due to their toxicity to other biological processes. Sybron Chemicals, Inc., is a company that manufactures a nitrifying bioaugmentation culture (1010N) that is used to enhance the naturally occurring levels of biological nitrification. The microbial population of the 1010N product has been examined using a combination of conventional bacteriological methods and modern molecular techniques, with the goal of developing nucleic acid probes that can be used to detect the product in an environmental sample. Small regions of the 16S rRNA genes of the bacteria in 1010N (and two new nitrifying enrichment cultures) were amplified via the polymerase chain reaction (PCR) and analyzed via temperature gradient gel electrophoresis (TGGE). TGGE is a procedure that allows for separation and visualization of individual PCR products that are the same size, based on differences in their sequence. Two of the predominant PCR products in 1010N were purified from the TGGE gel matrix, reamplified via PCR, and sequenced to allow for phylogenetic analysis and nucleic acid probe design. Coincidentally, two strains (NS500-9 and MPN2) that had been isolated from the 1010N mixed consortium and grown in pure culture were found, via TGGE, to have identical 16S rRNA sequences to the PCR products under investigation. Nearly the full-length 16S rRNA genes from these two organisms were PCR amplified, cloned, and sequenced in order to provide a basis for more accurate phylogenetic analysis. The two dominant organisms in the 1010N product, NS500-9 and MPN2, were thereby found to be most closely related to Nitrosomonas and Nitrobacter, respectively, in the existing database. Using the nucleic acid sequences of the cloned DNA, organism-specific DNA probes were designed for both NS500-9 and MPN2. Unfortunately, difficulties were encountered in using the probes to monitor 1010N activity levels via quantitative dot blot hybridizations (rRNA-DNA). Therefore, efforts were redirected to using the TGGE semi-quantitatively with an internal PCR standard (Brüggeman, et al., 2000) to estimate original cell numbers of 1010N within a mixed consortium. This method was not applicable to our system due to substantial preferential binding of the primers to template other than the standard. Samples from a laboratory-scale bioreactor, bioaugmented with 1010N, were used in an attempt to correlate an increase in activity with a detectable shift in population via TGGE. No detectable shift in population was detected in these samples even though the system exhibited increased levels of nitrification. Therefore, the sensitivity of the TGGE system was also examined by determining the limits of detection when 1010N was present in activated sludge. In both whole cell spiking experiments and genomic DNA spiking experiments, it was found that 1010N must be present at a level of at least 5% of the total population in order to be detected. While this provides some information about microbial populations, in order to evaluate the biological activity of a system, nucleic acid probes should be used in a rRNA based study. / Master of Science

Les activités humaines sont à l’origine de nombreuses pollutions par des hydrocarbures au niveau des écosystèmes, et plus particulièrement au niveau des sols. Afin de préserver la santé humaine et environnementale, il est nécessaire d’éliminer les polluants présents. Dans ce but, les techniques de bioremédiation apparaissent aujourd’hui comme de réelles alternatives aux techniques classiques, invasives et onéreuses. Cependant, l’utilisation optimale de tels procédés nécessite une meilleure connaissance des capacités métaboliques des communautés microbiennes impliquées dans la biodégradation de ces polluants. Dans ce cadre, l’utilisation des biopuces ADN fonctionnelles pour analyser ces écosystèmes semble très appropriée.Cependant, une de ses limitations actuelles est la détermination des sondes, qui ne ciblent que les gènes dont les séquences ont été caractérisées. Pour cela, un outil informatique (Metabolic Design) a été mis au point, afin de déterminer des sondes exploratoires pour biopuces fonctionnelles. L’étude, avec notre biopuce fonctionnelle, des capacités métaboliques de dégradation des HAP de la souche Sphingomonas paucimobilis sp. EPA505 a permis de mettre en évidence la sensibilité et la spécificité des sondes développées, ainsi que leur aspect exploratoire. Puis, nous nous sommes attachés à caractériser les capacités métaboliques des communautés bactériennes d’un sol pollué principalement par des HAP, sans à priori sur les séquences ou les organismes présents, montrant l’efficacité de notre approche. / Soil ecosystems are sensitive to damage from pollutions, and there is an increasing need to develop better methods for removing pollutants from soils. The removal of pollutants, such as polycyclic aromatic hydrocarbons, by bioremediation, is a less invasive and expensive process than classical decontamination. However, use and optimization of bioremediation treatments require knowledge on metabolic capacites of microbial communities involved in the biodegradation of such pollutants. To assess their huge metabolic potentialities, we need high throughput tools, such as functional microarrays, that allow the simultaneous analysis of thousands of genes. However, most classical functional microarrays use specific probes that monitor only known sequences and so, fail to cover the full microbial gene diversity present in complex environments. We have thus developed a program, named Metabolic Design, to design efficient explorative probes for functional microarrays. Then, we successfully validated our new functional microarray studying metabolic capacities of Sphnigomonas paucimobilis sp. EPA505 able to degrade polycyclic aromatic hydrocarbons. Finally, we assessed metabolic capacities of microbial communities in soil, contaminated with aromatic hydrocarbons. Results show that our probe design (sensitivity and explorative quality) can be used to study a complex environment efficiently.

Les microorganismes, par leurs fascinantes capacités d’adaptation liées à l’extraordinaire diversité de leurs capacités métaboliques, jouent un rôle fondamental dans tous les processus biologiques. Jusqu’à récemment, la mise en culture était l’étape préliminaire obligatoire pour réaliser l’inventaire taxonomique et fonctionnel des microorganismes au sein des environnements. Cependant ces techniques ne permettent d’isoler qu’une très faible fraction des populations microbiennes et tendent donc à être remplacées par des outils moléculaires haut-débit. Dans ce contexte, l’évolution des techniques de séquençage a laissé entrevoir de nouvelles perspectives en écologie microbienne mais l’utilisation directe de ces techniques sur des environnements complexes, constitués de plusieurs milliers d’espèces différentes, reste néanmoins encore délicate. De nouvelles stratégies de réduction ciblée de la complexité comme la capture de gènes ou les biopuces ADN représentent alors une bonne alternative notamment pour explorer les populations microbiennes même les moins abondantes. Ces stratégies à haut-débit reposent sur la détermination de sondes combinant à la fois une forte sensibilité, une très bonne spécificité et un caractère exploratoire. Pour concevoir de telles sondes plusieurs logiciels ont été développés : PhylGrid 2.0, KASpOD et ProKSpOD. Ces outils généralistes et polyvalents sont applicables à la sélection de sondes pour tout type de gènes à partir des masses de données produites à l’heure actuelle. L’utilisation d’architectures de calculs hautement parallèles et d’algorithmes innovants basés sur les k-mers ont permis de contourner les limites actuelles. La qualité des sondes ainsi déterminées a pu permettre leur utilisation pour la mise au point de nouvelles approches innovantes en écologie microbienne comme le développement de deux biopuces phylogénétiques, d’une méthode de capture de gènes en solution ainsi que d’un algorithme de classification des données métagénomiques. Ces stratégies peuvent alors être employées pour diverses applications allant de la recherche fondamentale pour une meilleure compréhension des écosystèmes microbiens, au suivi de processus de bioremédiation en passant par l’identification de tous types de pathogènes (eucaryotes, procaryotes et virus). / Microorganisms play a crucial role in all biological processes related to their huge metabolic potentialities. Until recently, the cultivation was a necessary step to appraise the taxonomic and functional diversity of microorganisms within environments. These techniques however allow surveying only a small fraction of microbial populations and tend to be consequently replaced by highthroughput molecular tools. While the evolution of sequencing technologies opened the door to unprecedented opportunities in microbial ecology, massive sequencing of complex environments, with thousands of species, still remains inconceivable. To overcome this limitation, strategies were developed to reduce the sample complexity such as gene capture or DNA microarrays.These high-throughput strategies rely on the selection of sensitive, specific and explorative probes. To design such probes several programs have been developed: PhylGrid 2.0, KASpOD and ProKSpOD. These multipurpose tools were implemented to design probes from the exponentially growing sequence datasets in microbial ecology. Using highly parallel computing architectures and innovative k-mers based strategies allowed overcoming major limitations in this field. The high quality probe sets were used to develop innovative strategies in microbial ecology including two phylogenetic microarrays, a gene capture approach and a taxonomic binning algorithm for metagenomic data. These approaches can be carried out for various applications including better understanding of microbial ecosystems, bioremediation monitoring or identification of pathogens (eukaryotes, prokaryotes and viruses).

Several research studies have suggested that individuals with ID are at an increased risk of being a target of victimization (Hughes et al., 2012; Wilson et al.,1992). Therapists, caregivers, primary care providers, and school staff may also undervalue or fail to teach critical safety skills early in childhood or in the adolescent years, which increases risk of victimization in adulthood (Dembo et al., 2018). The purpose of the current study was to evaluate the effectiveness, generalizability, and maintenance of the use of behavior skills training to teach stranger safety skills to young adults with intellectual disabilities. Specifically, a two-step safety response in the presence of a lure from a stranger. Overall, the current study’s results demonstrate that the intervention was effective at teaching this population stranger safety skills. Results of the current study also suggest that the target skill was generalizable across settings and maintained at a 13 week follow up. Furthermore, the intervention was rated high for social validity among most participants. Future studies should continue to explore the effectiveness, generalizability, and maintenance of these results.

The present thesis entitled, "Molecular expression through fluorescence: Studies in probe design and aggregation" describes very simple bi-functional donor-acceptor poly-aromatic fluorophores that have been shown to possess distinctive properties depending on the context in which they are studied. In a sense, this work is an effort in exemplifying the inherent diversity and power of "molecular expression", with the central theme here being the phenomenon of fluorescence. The work has been divided into four chapters, each having a self-contained introduction. Chapter 1: First instance of metal ion (Zn2+) sensing exclusively at amphiphilic interfaces. (1 -pyrenyl)rnethyl-bis- [(2-pyridyl)methyl]amine (Pybpa), a simple, bi-functional fluorophore was synthesized. Pybpa has the modular design of a photoinduced electron transfer (PET) based analyte sensor. In Pybpa, a photoinduced electron transfer (PET) operates from the pyrenyl nitrogen (PyCH2-iV) to the excited pyrenyl (Py*) chromophore leading to fluorescence quenching. Zn2+ ion binding to the bis-picolyl (bpa) unit of Pybpa stops the PET process and leads to fluorescence enhancement. Thus Pybpa was able to sense Zn2+" in organic solvents. In water, however, Pybpa showed pronounced aggregation and the probe did not sense any metal ion. Surfactant micelles provide hydrophobic regions in water and the dynamic rnicellar assemblies could disrupt Pybpa aggregates. Pybpa monomers solubilized in micelles were responsive to Zn2+ in the low micro molar concentration range. The metal ion sensing on micelles was reflective of the charge of the interface. The sensing is negligible on cationic surface (CTAB), moderate on negatively charged surface (SDS micelles) and is the most efficient on neutral interface provided by TWEEN-20 micelles. With the Pybpa 'sensor*, no sensing is possible in water and hence the sensing is exclusive to the interface. Pybpa doped in membranous aggregates like phosphatidylcholine (PC) lipid bilayers, exists in monomeric form, and was able to sense Zn . The sensing on phosphatidylcholine (PC) bilayer vesicles was found to depend on the fluidity of the membrane. Zn2^ sensing with interfacially bound probe "was extended to a globular protein bovine serum albumin (BSA). BSA, a carrier protein, can bind hydrophobic molecules as well as metal ions like Zn2f. BSA was shown to disrupt Pybpa aggregation and bind Pybpa in a facile manner. BSA bound Pybpa was able to sense externally added Zn2+. Biological sensing of trace amounts of Zn2+ has been considered important since Zn2+ is crucial for eukaryotic systems. This is the first example of such 'exclusive' interfacial sensing of a metal ion. Chapter 2: Towards understanding and modulating self-assembly of pyrenyl bis-picolyl a mine: Organic nanoparticles that show tunable emission. Pybpa was found to aggregate in water in the size range of 80-250 nm. Evidence of aggregation was seen at concentrations as low as 1 |iM. The nanoscopic particles formed were characterized through transmission electron microscopy (TEM) and dynamic light scattering (DLS). Pybpa in water showed dual emission bands, with one band resernhling the emission from 'monomeric' Pybpa (as seen in solutions in organic solvents) and a broad red-shifted emission band (A,max ~ 480 ran) designated as "aggregate/nanoparticle" emission. Distinct excitation spectra for the two emission bands indicate that the bands (the '390 nm' band and the '480 nm' band) originate through distinct excitation/emission channels. The time resolved emission decay for the 'monomer' emission (397 nm) showed a substantial contribution from a long-lived pyrene-like excited state (x = 103.9 ns, 40% relative amplitude). On the other hand, the decay at 475 nm (for the nanoparticle/aggregate emission band) was considerably faster, with no evidence of any pyrene-like long-lived state. The short lifetimes indicated an exciplex nature of the red-shifted emission band, X-,nax~480 nm. The effect of temperature and urea on these aggregates was examined. The nanoparticles formed even in a concentrated urea solution (7.8 M). The aggregates formed in urea were found to be more emissive, indicating a 'looser' aggregate with reduced fluorescence quenching. Similar results were obtained on heating the aggregate. Increasing the concentration of Pybpa in water causes a change in the nature of the colloids formed as exemplified by increase in aggregate size and a decrease in the polydispersity index. Also seen was a substantial red shift in the 'aggregate emission'. At higher concentrations, the presence of three independent excitation/emission channels was observed. It is likely that a new type of aggregated Pybpa species formed at higher concentration, which emits at longer wavelength (A,rnax~540 nm), In such a scenario, it is possible to tune the emission wavelength by the choice of appropriate wavelength of excitation. Further, there is an opportunity to tailor the emission properties by controlling the aggregation behavior. The modulation of emission is one of the primary goals of research on fluorescent organic nanoparticles. Chapter 3: Photophysical properties of aryl-terpyridines in solution, solid and aggregated state: Unique CT emission from nanoparticles in water. Two aryl terpyridines, 4T-(l-pyrenyl)-2,2l:6'52fl-terpyridine (Pytpy) and 4'-(9-anthryl)-2,2':6',2n-terpyridine (Antpy), where the fluorophoric pyrene or anthracene unit is directly coupled to the terpyridine unit, were synthesized. The aryl terpyridines conjugates can be viewed as donor-acceptor molecules that are conformationally labile, with the possibility of rotation around three single bonds. It was of interest to see as to how conformational effects express themselves in different environments, especially in relation to the possibility of charge separation. Crystal structure data and Serni-empirical AMI calculations revealed a twisted molecular conformation for each of the molecules. Absorption and emission (steady state as well as tirne-resolved) behavior of Pytpy and Antpy in various organic solvents have been presented. The molecules showed only limited conjugation between the two units in the absorption behavior with the degree of conjugation being greater for Pytpy. In the emission behavior, only a single emission band (with a single lifetime) was observed in all organic solvent. Steady state and time resolved fluorescence data suggest the existence of a mixed or coupled, largely 7t—7i* state, with only marginal charge separation. The various photophysical parameters have been determined for the two systems. It appears that in the excited state, the inesomeric interactions show an increase for each of the two aryl-terpyridines, indicating at least a partially planar geometry in the excited state. Some specific solvent effects were observed for the molecules in alcoholic solvents and there was evidence of excited state H-bonding occurs for the aryl terpyridines in polar protic organic solvents, especially methanol. Pytpy and Antpy self-assembled in water over a large concentration range (1-100 |xM) to form spherical nanoparticles in the size range of 150-200 nm, as characterized by TEM and DLS. The absorption spectra for both conjugates showed red shift of the absorption bands in water (-10 nrn) along with significant tailing of the long-wavelength bands. The change in emission behavior in going from solution to the aggregates in water was very dramatic. Multiple, broadened, highly red-shifted emission bands for both Antpy and Pytpy were observed. Quite significantly, a long lifetime component in the emission decay was shown by the conjugates in water as compared to the lifetimes observed in solution. The data points towards a unique CT emission for Antpy and Pytpy aggregates in water. The excitation spectra for the multiple emission bands seen for Pytpy (or Antpy) were observed to be identical. Thus a single ground state population is responsible for emission over the entire range (approximately 420 nin - 600 nm). The existence of multiple emission bands and the large bathochromic shifts are exclusively due to excited state effects in the aggregated state in water. It appears that excited state H-bonding of the tpy N with water helps facilitate the excited state CT. The solid-state behavior of Pytpy and Antpy lias been examined and the emission from the two crystalline solids is very distinct. Antpy emission showed a X,,nax at -430 nm while Pytpy emission peaked at ~ 560 nm. The difference in the solid-state emission behavior exhibited by Pytpy and Antpy is explained through a consideration of the crystal packing for the two molecules. The degree of n-facial stacking was observed to be much greater for Pytpy. The observation of the distinct packing and emission shown by solid Pytpy and Antpy is highly significant if one considers the identical emission shown by the aqueous nanoparticles of the two molecules and brings to fore the 'nanoparticle effect' in water as compared to a simple concentration effect. It was also demonstrated that it was possible to modulate the aggregation of the terpyridines through additives, like metal ions Chapter 4: Pyrenyl terpyridine as a ratiometric fluorescence probe for sensing order and polarity of membranous aggregates. Pytpy was examined for its utility in probing surfactant aggregates, particularly membranous assemblies. la lipid bilayer vesicles made of phosphatidylcholine (PC) lipids (like dimyristoyl phosphatidylcholine, DMPC or egg-yolk PC) Pytpy showed an emission profile with marked similarity to that shown by the probe in water. Specifically, a broad red-shifted emission with A,maxin. the 500 nm region was observed. In addition, a peak in the -420 nm region was also seen. Fluorescence anisotropy was used to confirm the presence of vesicle-bound probe. Excitation spectra confirmed the presence of two distinct probe populations, om responsible for the '420 nm9 emission and another population responsible for the multiple, red-shifted emission bands. The emission behavior was indicative of aggregation of Pytpy on the vesicle surface and CT effects operating in conjunction with H-bonding. Fluorescence lifetime measurements, carried out at different Is suggest the CT nature of the red-shifted emission. The aggregation of the probe on the bilayer interface was confirmed by concentration and temperature dependence of the emission profile. The role of water in stabilizing this CT emission on bilayer surfaces was shown with use of a surface dehydrating agent polyethylene glycol (PEG). All these results helped build a model for the behavior of Pytpy in water. Pytpy aggregates on bilayer surface and shows a red-shifted CT emission with stabilization by interfacial water. Thus, the Pytpy 'aggregate' has a shallow, water accessible location in the bilayer. In addition to this, there is another Pytpy population responsible for the emission in the 420 nm region, and this second population might have a comparatively deeper location. The wavelength of the CT emission was sensitive to the polarity of the interface as evidenced "by the results obtained with bilayers made of a number of PC lipids. In general, the X™ax of the CTband showed a red shift with increasing polarity. The increase in polarity also caused an increase in the average lifetime of the probe. Pytpy could distinguish between vesicles made of lipids of different head groups. Aggregates made of phosphatidylethanolamine (PE) head group are in general less hydrated than PC lipid assemblies and Pytpy emission reflected this when examined in vesicles made of related lipids (dioleoyl lipids, DOPC and DOPE; dirnyristoyl lipids, DMPC and DMPE). Pytpy emission from PE vesicles was quenched and showed a pronounced blue shift in the emission Xmax vis-a-vis PC bilayers. Thus, dehydration of the interface consistently led to the destabilization of the CT state. Further, Pytpy emission was also responsive to hydration in more complex mixed PC-PE assemblies. Pytpy emission "behavior was also used to probe fluidity in complex "mixed" lipid assemblies- The effect of cholesterol on DMPC bilayers in terms of its known ability to dehydrate the bilayer was reported through a blue-shift Xmax of CT emission band. Further, cholesterol also causes drastic change in the bilayer at concentrations greater than ~ 30 mol%. This change in the bilayer was sensed through a sudden reduction in fluorescence intensity. Also from a careful analysis of Pytpy in various PC and PE vesicles, it emerged that the more fluid aggregates showed larger quantum yields. Thus, Pytpy could simultaneously report on both the polarity and fluidity of lipidic aggregates. Pytpy could also provide information about the order of an assembly. While the probe aggregated in bilayers and other membranous assemblies and showed water assisted CT emission, in more dynamic assemblies like micelles, Pytpy aggregates were not sustained, Pytpy in micelles showed emission spectra very similar to that seen in solutions in aprotic organic solvents. Thus, Pytpy proved to be a very useful ratiometric sensor for vesicle-to-rnicelle transition. Also, it has been possible to study some surfactant-lipid mixed assemblies that show phase separation. Pytpy reported the formation of a 'rigid', bilayer-like phases in mixed assemblies that are called bicelles.

Children with limited speech using graphic symbols for communication often express themselves predominantly through single symbols rather than symbol combinations. This study aimed to investigate the effect of an intervention strategy that was incorporated into shared storybook reading on the production of graphic symbol combinations. Three children between the ages of 7;9 (years;months) and 10;8 with limited speech and physical impairments participated in the study. A multiple probe design across behaviours (3 different types of semantic symbol combinations) was used, replicated across the 3 participants. Intervention entailed prompting the production of strategic symbol combinations (generated from a matrix) during shared storybook reading by using a prompting hierarchy. The participants’ production of combinations targeted during intervention as well as their ability to generalize to nontarget combinations from the matrix was monitored using a probe test (picture description task). All 3 participants showed some gains in acquiring the combinations and generalizing to nontarget combinations, as measured by the probe test. While 1 participant showed convincing effects, the other 2 showed lower effects. Lower effects may be partly ascribed to participant characteristics as well as to the discrepancies between the intervention and probe contexts. All participants performed better within the shared storybook reading context. Results suggest that the production of symbol combinations can be facilitated during shared storybook reading and that the matrix strategy promotes generalization to untrained semantic combinations. However, participant gains may not reflect immediately in formal testing situations. / Thesis (PhD)--University of Pretoria, 2012. / Centre for Augmentative and Alternative Communication (CAAC) / unrestricted

Les microorganismes constituent la plus grande diversité du monde vivant. Ils jouent un rôle clef dans tous les processus biologiques grâce à leurs capacités d’adaptation et à la diversité de leurs capacités métaboliques. Le développement de nouvelles approches de génomique permet de mieux explorer les populations microbiennes. Dans ce contexte, les biopuces à ADN représentent un outil à haut débit de choix pour l'étude de plusieurs milliers d’espèces en une seule expérience. Cependant, la conception et l’analyse des biopuces à ADN, avec leurs formats de haute densité actuels ainsi que l’immense quantité de données à traiter, représentent des étapes complexes mais cruciales. Pour améliorer la qualité et la performance de ces deux étapes, nous avons proposé de nouvelles approches bioinformatiques pour la conception et l’analyse des biopuces à ADN en environnements parallèles. Ces approches généralistes et polyvalentes utilisent le calcul haute performance (HPC) et les nouvelles approches du génie logiciel inspirées de la modélisation, notamment l’ingénierie dirigée par les modèles (IDM) pour contourner les limites actuelles. Nous avons développé PhylGrid 2.0, une nouvelle approche distribuée sur grilles de calcul pour la sélection de sondes exploratoires pour biopuces phylogénétiques. Ce logiciel a alors été utilisé pour construire PhylOPDb: une base de données complète de sondes oligonucléotidiques pour l’étude des communautés procaryotiques. MetaExploArrays qui est un logiciel parallèle pour la détermination de sondes sur différentes architectures de calcul (un PC, un multiprocesseur, un cluster ou une grille de calcul), en utilisant une approche de méta-programmation et d’ingénierie dirigée par les modèles a alors été conçu pour apporter une flexibilité aux utilisateurs en fonction de leurs ressources matériel. PhylInterpret, quant à lui est un nouveau logiciel pour faciliter l’analyse des résultats d’hybridation des biopuces à ADN. PhylInterpret utilise les notions de la logique propositionnelle pour déterminer la composition en procaryotes d’échantillons métagénomiques. Enfin, une démarche d’ingénierie dirigée par les modèles pour la parallélisation de la traduction inverse d’oligopeptides pour le design des biopuces à ADN fonctionnelles a également été mise en place. / Microorganisms represent the largest diversity of the living beings. They play a crucial rôle in all biological processes related to their huge metabolic potentialities and their capacity for adaptation to different ecological niches. The development of new genomic approaches allows a better knowledge of the microbial communities involved in complex environments functioning. In this context, DNA microarrays represent high-throughput tools able to study the presence, or the expression levels of several thousands of genes, combining qualitative and quantitative aspects in only one experiment. However, the design and analysis of DNA microarrays, with their current high density formats as well as the huge amount of data to process, are complex but crucial steps. To improve the quality and performance of these two steps, we have proposed new bioinformatics approaches for the design and analysis of DNA microarrays in parallel and distributed environments. These multipurpose approaches use high performance computing (HPC) and new software engineering approaches, especially model driven engineering (MDE), to overcome the current limitations. We have first developed PhylGrid 2.0, a new distributed approach for the selection of explorative probes for phylogenetic DNA microarrays at large scale using computing grids. This software was used to build PhylOPDb: a comprehensive 16S rRNA oligonucleotide probe database for prokaryotic identification. MetaExploArrays, which is a parallel software of oligonucleotide probe selection on different computing architectures (a PC, a multiprocessor, a cluster or a computing grid) using meta-programming and a model driven engineering approach, has been developed to improve flexibility in accordance to user’s informatics resources. Then, PhylInterpret, a new software for the analysis of hybridization results of DNA microarrays. PhylInterpret uses the concepts of propositional logic to determine the prokaryotic composition of metagenomic samples. Finally, a new parallelization method based on model driven engineering (MDE) has been proposed to compute a complete backtranslation of short peptides to select probes for functional microarrays.

Die Haplotypspezifische Extraktion (HSE) bietet für die Analyse von männlichen Mischprofilen einen neuen und direkteren Lösungsansatz, in dem die haploiden Y-chromosomalen DNS-Komponenten der einzelnen Individuen bereits vor der Analyse der individual spezifischen Marker separiert werden können und dadurch eine wirkliche physische Trennung erreicht wird. Die HSE verwendet Y-chromosomalen SNPs für die Erstellung allelspezifische Extraktionssonden, die nun gezielt nur die Marker der extrahierten DNS Komponente bzw. einer Person separieren sollen. Dabei werden im Hybridisationsschritt der HSE selektive nur komplett hybridisierte Sonden durch eine Polymerase verlängert. Während der Elongation erfolgt eine Biotinylierung des neu entstehenden Stranges, welcher dann selektiv durch Streptavidin markierte Eisenkügelchen extrahiert werden kann. Erste Durchführungen einer HSE zeigten nur eine sehr schwache bis keine Anreicherung. Während der Optimierung verschiedener Parameter wurde die Schlüsselstellung des Sondendesigns in der HSE-Technik deutlich. Die Ergebnisse zeigten, dass die neu entwickelten Sonden den Trennungserfolg der Mischprobe enorm verbessern und in einigen Fällen sogar zum Ausschluss des konkurrierenden Allels führten. Ein Vergleich der HSE Ergebnisse mit den simulierten Sondenparametern der getesteten Sonden ergab, dass der Extraktionserfolg der Sonde maßgeblich durch das Zusammenspiel von Sondenlänge und GC-Gehalt bestimmt wird. Durch dieses neu gewonnene Verständnis über den Einfluss der einzelnen Sondenparameter auf den Trennungserfolg der Mischprobe, können für künftige HSE Anwendungen Sonden effizienter erstellt und deren Wirksamkeit vorhergesagt werden. Zusätzlich konnte das neu entwickelte Vorhersage-Model der Sondenspezifität auch für weitere Extraktionsorte außerhalb des Y-Chromosoms bestätigt werden. Weiterhin konnte durch die Kombination verschiedener Sonden in einer Multiplex HSE mehrerer Y-chromosomaler Marker gleichzeitig getrennt. / Haplotype-specific extraction (HSE) allows the separation of diploid samples in their haploid components and offers in forensic a new straight forward method to separate Y-chromosomal mixed profiles, consisting of haplotype markers like short tandem repeats (STRs). The advantage of the HSE approach in mixture analysis is the real physical separation of the individual DNA components before the amplification of the STR markers. In order to use the HSE technique for the separation of male DNA mixtures, Y-chromosomal extraction probes were designed to single nucleotide polymorphisms (SNPs), which have been specific for one contributor of the male DNA mixtures. During extraction only complete matched probes are extended by a polymerase which results in the incorporation of biotinylated nucleotides. The synthesized and biotin labeled strand is separated by streptavidin coated magnetic beads. Finally, samples were analyzed by PCR coupled capillary electrophoresis for the detection of the extracted STR markers. First tests of a Y-chromosomal specific extraction showed only little till no enrichment of the targeted alleles. Therefore optimization tests of different parameters were carried out, which revealed the probe design as the key factor of successful HSE. A comparison between simulated probe parameters and their extraction success in HSE showed that the HSE probe efficiency mainly depends of the relation of probe length and GC-contents. Because of the new gained knowledge about the influence of the probe-design on the separation success, probes for future HSE application can be developed faster and cost-effective. The new prediction model for probe-specificity was also successful tested for the extraction of other genome-loci. Furthermore, a multiplex HSE approach was used to separate several STR markers simultaneously in one extraction reaction and therefore achieved the separation of one contributor Y-chromosomal haplotype.

Les microorganismes représentent la forme de vie la plus diverse et abondante sur Terre et jouent un rôle fondamental dans tous les processus biologiques. Cependant, du fait de la grande diversité des communautés microbiennes, la caractérisation fine des environnements complexes reste difficile par les approches moléculaires actuelles de PCR et de métagénomique. En effet, ces approches ne conduisent qu’à une caractérisation partielle des communautés et ne permettent pas systématiquement d’associer la structure des communautés aux fonctions métaboliques réalisées. L’approche de capture de gènes par hybridation appliquée à des échantillons métagénomiques complexes a démontré son intérêt pour révéler toute la diversité connue mais aussi inconnue des biomarqueurs fonctionnels ciblés, ainsi que pour enrichir leurs régions flanquantes sur quelques centaines de permettant en évidence des associations de gènes. Ainsi, les travaux de thèse ont visé à développer une nouvelle méthode de capture de gènes par hybridation capable d’enrichir de façon ciblée de larges régions génomiques à partir d’échantillons complexes, permettant ainsi de faire le lien entre structure et fonction des communautés microbiennes. Ces développements ont nécessité la détermination de sondes de capture, l’utilisation d’une méthode d’extraction d’ADN de haut poids moléculaire et la mise au point d’un protocole de capture permettant de piéger des fragments nucléiques de grande taille (jusqu’à 50 kb). La validation de la méthode de capture par hybridation sur un échantillon environnemental de sol a permis de révéler tout son potentiel. Appliquée au gène exprimant l’ARNr 16S, cette stratégie a permis de révéler une diversité microbienne non accessible par les approches moléculaires conventionnelles, avec une résolution d’identification jusqu'au niveau de l’espèce rendue possible grâce à la reconstruction de la séquence complète de ce marqueur phylogénétique. Appliquée à un gène fonctionnel, elle a conduit à la reconstruction de la séquence du biomarqueur et de ses régions flanquantes pouvant atteindre plusieurs dizaines de kb, permettant d’identifier les microorganismes possédant les capacités métaboliques d’intérêt. Ainsi, la capture par hybridation représente une approche alternative prometteuse pour le diagnostic environnemental en conduisant à une meilleure caractérisation des communautés microbiennes. / Microorganisms are the most diverse and abundant life forms on Earth and are key players in thefunctioning of all biological processes. Nevertheless, PCR and metagenomics strategies aiming to describemicrobial communities are hampered by their huge diversity. Indeed, these molecular methods only drive to apartial description of communities and do not systematically allow linking functions back to the identities of themicroorganisms. Hybridization capture applied to complex metagenomic samples has demonstrated its efficiency to reveal all known and unknown diversity of targeted biomarkers, and to enrich their flanking regions over a few hundred bp facilitating the discovery of gene associations.Thus, this work aimed at developing a new hybridization capture method capable of specifically enrichinglarge genomic regions from complex samples allowing to associate structure and functions of communities. Thedevelopment of this method required the design of capture probes, the use of a high molecular weight DNAextraction method, and the elaboration of a capture protocol dedicated to the enrichment of large genomicfragments (up to 50 kbp).The validation of the hybridization capture method on an environmental soil sample uncovered all itspotential. Applied to the 16S rRNA gene, this strategy revealed greater microbial diversity than conventionalmolecular methods and improved phylogenetic resolution up to the species level thanks to the reconstruction offull-length genes. Applied to a functional gene, the method enabled the reconstruction of large genomic regionscarrying the targeted biomarker and its flanking regions over several tens of kbp, leading to the identification ofmicroorganisms with specific metabolic functions. Hybridization capture thus appears as a promising alternativemethod for environmental diagnosis, through providing a better knowledge of microbial communities.