This is a two-part project. Proton pump inhibitors (PPIs) have been associated with increased risk of C. difficile infections and increased toxin production when combined with antimicrobial therapy. The first part of this project involved characterization of a hypervirulent NAP1 C. difficile strain, including genome sequencing and assembly, and the development of methods to study its transcriptomics using RNA-Seq, which will enable future researchers to study different expression patterns when toxigenic C. difficile is challenged with PPIs and/or antimicrobials in vitro. The second part of this project involved characterizing a clinical isolate of a NAP1 C. difficile displaying a markedly elevated MIC to metronidazole (MIC = 16 mg/mL), which initially exhibited MIC of 32 mg/mL. A method of obtaining a metronidazole-susceptible revertant from this isolate was developed and a revertant was obtained. The genomes of both isolates were sequenced, assembled, and aligned, then compared to each other for polymorphisms.

This is a two-part project. Proton pump inhibitors (PPIs) have been associated with increased risk of C. difficile infections and increased toxin production when combined with antimicrobial therapy. The first part of this project involved characterization of a hypervirulent NAP1 C. difficile strain, including genome sequencing and assembly, and the development of methods to study its transcriptomics using RNA-Seq, which will enable future researchers to study different expression patterns when toxigenic C. difficile is challenged with PPIs and/or antimicrobials in vitro. The second part of this project involved characterizing a clinical isolate of a NAP1 C. difficile displaying a markedly elevated MIC to metronidazole (MIC = 16 mg/mL), which initially exhibited MIC of 32 mg/mL. A method of obtaining a metronidazole-susceptible revertant from this isolate was developed and a revertant was obtained. The genomes of both isolates were sequenced, assembled, and aligned, then compared to each other for polymorphisms.

Species are vital entities in biology. Species are generally considered to be discrete entities, consisting of a group of (usually interbreeding) individuals that are similar in phenotype and genetic composition, yet differ in significant ways from other species. The study of speciation has focussed on understanding general evolutionary mechanisms involved in the accumulation of differences both at the genetic and phenotypic level. In this thesis, I investigate incipient speciation, an early stage of divergence towards evolutionary independence in closely related natural populations. I make ample use of recent advances in sequencing technology that allow 1) characterizing phenotypic divergence at the level of the transcriptome and 2) delineate patterns of genetic variation at genome-scale from which processes are inferred by using principles of population genetic theory. In the first paper, we assembled a draft genome of the hooded crow and investigated population differentiation across a famous European hybrid zone. Comparing sequence differentiation peaks between and within the colour morphs, we could identify regions of the genome that show differentiation only between colour morphs and that could be related to gene expression profiles of the melanogenesis pathway coding for colour differences. The second paper expands on the first paper in that it includes crow population samples from across the entire Palaearctic distribution spanning two additional zones of contact between colour morphs. The results suggest that regions associated with selection against gene flow between colour morphs were largely idiosyncratic to each contact zone and emerged against a background of conserved 'islands of differentiation' due to shared linked selection. The third paper focusses on five killer whale ecotypes with distinct feeding and habitat specific adaptations. Differing levels of sequence differentiation between these ecotypes places them along a speciation continuum and provides a unique temporal cross-section of the speciation process. Using genome scans we identified regions of the genome that show ecotype specific differentiation patterns which might contain candidate genes involved in adaptation. In the fourth and final paper, I assumed a comparative genomic perspective to the problem of heterogeneous genomic differentiation during population divergence. The relatively high correlations in the diversity landscapes as well as differentiation patterns between crow, flycatcher and Darwin's Finch populations is best explained by conservation in broad-scale recombination rate and/or  association with telomeres and centromeres conducive to shared, linked selection.

In the presented work the relationship between transcription factors and male gametophyte development was studied. The Ph.D. Thesis covers selection of candidate genes, wide-scale screening of T-DNA mutant lines and detailed analysis of a selected transcription factor on pollen development.

Euglena gracilis is a species of unicellular photosynthetic flagellate that inhibits aquatic ecosystems. E. gracilis belongs to the supergroup Excavata, and are an important component of the global biosphere, have biotechnological potential and is useful biological model due to their evolutionary history and complex biology. Whilst the evolutionary position of E. gracilis is now clear, their relationship with other protists such as Naegleria, Giardia, and Kinetoplastids, remains to be investigated in detail. Investigating and understanding the biology of this complex organism is a promising way to approach many evolutionary puzzles, including secondary endosymbiotic events and the evolution of parasitism, due to their relationship with Kinetoplastids. Here, I report a draft genome for E. gracilis, together with a high quality transcriptome and proteomic analysis. The estimated genome size is ~ 2 Gbp, with a GC content of ~ 50 % and a protein coding potential predicted at 36,526 Open Reading Frames (ORFs). Less than 25% of the genome is single copy sequence, indicating extensive repeat structure. There are evidences for large number of paralogs amongst specific gene families, indicating expansions and possible polyploidy as well as extensive sharing of genes with other non photosynthetic and photosynthetic eukaryotes: red and green algael genes, together with trypanosomes and other members of the excavates. Functional resolution into several of the biological systems indicates multiple similarities with the trypanosomatids in terms of orthology, paralogy, relatedness and complexity. Several biological systems such as nuclear architecture (e.g. chromosome segregation, nuclear pore complex, nuclear lamins), protein trafficking, translation, surface, consist of conserved and divergent components. For instance, several gene families likely associated with the cell surface and signal transduction possess very large numbers of lineage-specific paralogs, suggesting great flexibility in environmental monitoring and, together with divergent mechanisms for metabolic control, novel solutions to adaptation to extreme environments. I also demonstrate that the majority of control of protein expression levels is post-transcriptional and absence of transcriptional regulation, despite the presence of conventional introns. These data are a major advance in the understanding of the nuclear genome of Euglenids and provide a platform for investigation of the contributions of E. gracilis and relatives to the biosphere.

Les moustiques génèrent une nuisance importante et sont notamment contrôlés grâce à des traitements insecticides. Aujourd'hui, les gîtes où se développent leurs larves sont souvent pollués par des xénobiotiques environnementaux (hydrocarbures, herbicides, pesticides, toxines naturelles…). Jusqu'à présent, l'impact de ces xénobiotiques sur la capacité des larves de moustiques à résister aux insecticides chimiques reste méconnu. Cette thèse vise à étudier la réponse des larves de d'Aedes aegypti aux xénobiotiques environnementaux et leur impact sur leur tolérance et résistance aux insecticides chimiques. Une première étude, sur le court terme, montre que des larves exposées pendant 24h à divers xénobiotiques deviennent plus tolérantes à vis à vis de différents insecticides chimiques (Poupardin et al. 2008). Des études biochimiques et transcriptomiques suggèrent que l'induction de certaines familles d'enzymes (e.g. P450s et GSTs) par ces xénobiotiques peut être liée à l'augmentation de tolérance des larves vis-à-vis de l'insecticide. Dans le but de mieux caractériser le profil transcriptionnel des précédents gènes candidats, des expérimentations complémentaires ont été faites à différents niveaux (Poupardin et al., 2010). Cette étude a montré que de nombreux gènes étaient préférentiellement transcrits dans des tissus fortement impliqués dans la détoxication de composés exogènes, essentiellement des CYP6. Elle révèle aussi que la transcription de ces P450s varie beaucoup au cours des différents stades de développement et qu'ils étaient induits à des faibles de doses de polluants avec un pic d'induction après 48 et 72 heures d'exposition. Ces études mettent en évidence le rôle potentiel des gènes de détoxication dans la réponse à l'exposition à des xénobiotiques et dans l'augmentation de tolérance aux insecticides chimiques. Concernant l'étude sur le long terme de l'impact des polluants sur la résistance des moustiques aux insecticides, la question est de savoir si les polluants trouvés dans l'environnement influencent la sélection de la résistance aux insecticides et si oui, favorisent-ils la sélection de gènes en particulier? Pour répondre à ces questions, trois souches d'Aedes aegypti ont été sélectionnées à la perméthrine. Ces souches sont exposées ou non à différents polluants avant sélection. Après 10 générations de sélection, des bioessais montrent une résistance de ces 3 souches vis-à-vis de la perméthrine. Aucune différence significative de niveau de résistance n'est observée entre les trois souches sélectionnées pour le moment. Pour identifier les gènes différentiellement transcrits dans ces souches, la puce "Agilent Aedes chip" développée par l'école de médecine tropicale de Liverpool (LSTM) et contenant 14200 transcrits a été utilisée. Les microarrays ont révélé que la présence de polluants ou insecticides résiduels pouvait affecter la sélection des mécanismes de résistance aux insecticides chimiques, notamment par la sélection de gènes particuliers codant pour des enzymes de détoxication (Poupardin et al, en préparation). D'une manière globale, cette thèse permettra de mieux comprendre l'impact de l'environnement chimique sur la résistance des moustiques aux insecticides et fournira de nouvelles pistes afin d'optimiser les traitements insecticides utilisés en démoustication. / Mosquitoes have a major impact on public health due to their capacity to transmit human diseases such as viruses (dengue, yellow-fever, west-Nile, chikungunya…) and parasites (malaria, filariasis…). To control them, insecticides have been heavily used since the 1950's leading to the emergence of insecticide resistance. Today, wetlands where mosquito larvae develop are frequently contaminated by environmental xenobiotics (e.g. residual insecticides, agrochemicals, pollutants and plant allelochemicals) and little is known about the impact of these molecules on the capacity of mosquitoes to resist insecticides. The aim of my thesis is to study the response of mosquito larvae to xenobiotic exposures and the impact of these molecules on the tolerance (single generation) and resistance (multiple generations) of mosquitoes to chemical insecticides. A first ‘short term' study revealed that mosquito larvae exposed for few hours to sub-lethal doses of various xenobiotics become more tolerant to several chemical insecticides (Poupardin et al., 2008, Riaz et al., 2009) and that this increased tolerance is linked with an increase of detoxification enzyme activities. Thanks to the “Aedes detox chip” developed in LSTM, we showed that several detoxification genes, especially P450s, were induced by various xenobiotics which could explain the increased tolerance of mosquito larvae to insecticides. In order to better characterize these genes, their transcription profiles were studied at different life stages and in various organs (Poupardin et al., 2010). We demonstrated that several of these P450s are preferentially transcribed in gastric caeca, midgut and malpighian tubules, known to play an important role in xenobiotic metabolism. Moreover, we found that the transcription levels of these genes vary according to life stages. Finally, several genes were induced by environmental doses of xenobiotics with a maximum induction peak at 48-72h after exposure. Overall, these studies evidenced of the potential role of mosquito detoxification genes to respond to xenobiotic exposure and to affect their tolerance to chemical insecticides. The other aim of my thesis was to understand the ‘long term' (across several generations) impact of xenobiotics on the selection of insecticide resistance mechanisms in mosquitoes. In other words, ‘Do pollutants affect the selection of insecticides resistance mechanism by insecticides treatments' and if yes, ‘are particular genes favoured?' To answer these questions, three strains of the mosquito Aedes aegypti were selected with the pyrethroid insecticide permethrin. Before the selection process, larvae were exposed or not to sub-lethal dose of various pollutants. After 11 generations of selection, the three strains showed elevated resistance to permethrin compared to the susceptible strain. To identify the genes differentially transcribed in these resistant strains, we used the new ‘Agilent Aedes chip' representing more than 14,200 transcripts developed by the LSTM. Microarray results showed that the presence pollutants or residual insecticide can affect the selection of insecticide resistance mechanisms by favouring the selection of particular genes such as those encoding for detoxification enzymes (Poupardin et al., in prep). Globally, this research work will provide a better understanding of the impact of environmental factors on insecticide resistances in mosquitoes and will provide new ways to optimize the control of vectors with insecticides.

Bacterioplankton provide important ecosystem functions by carrying out biogeochemical cycling of organic matter. Playing an important role in the microbial loop they help remineralize carbon and nutrients. Bacteria also interact with phytoplankton during phytoplankton blooms. However, fundamental understanding on the underlying molecular mechanisms involved in the degradation of phytoplankton-derived organic matter is still in its infancy. Therefore, we analysed data from a mesocosm experiment following a natural phytoplankton-bloom from an upwelling system in the North- East Atlantic Ocean. The purpose was to contribute a mechanistic understanding based on functional gene expression analysis of natural microbial assemblages. Our results show the difference in functional gene expression within a bacterial metacommunity and how this functional response drastically switches between bloom build up and senescence. Transcripts showed a broad change in gene expression involving major SEED categories, with the bloom senescence phase exhibiting a higher relative abundance in major categories such as Carbohydrates, Protein Metabolism and Amino Acids and Derivatives. Within these categories genes connected to carbon utilization and transport systems (Ton and Tol) as well as chemotaxis showed a higher abundance during bloom senescence. The change in functionality based on transcripts showed a different bacterial community composition appearing over a very short time. We thus conclude that the bacterial functional gene expression response between build-up and degradation bloom phases is remarkably different and associated with a change in the identity of bacteria with active expression. Our findings highlight the importance of bacterial substrate specialists with different functional roles during different time points of phytoplankton blooms.

Les changements globaux ont en partie pour effet de modifier les aires de répartition géographique des espèces. Les interactions nouvelles entre espèces n’ayant jamais été en contact peuvent potentiellement mener à des cas atypiques de reproduction, notamment l’hybridation. Ce phénomène peut avoir des implications épidémiologiques fortes car il peut conduire à la genèse de pathogènes hybrides. La combinaison du matériel génétique d’espèces distinctes peut conférer de meilleures capacités à la progéniture (vigueur hybride ou hétérosis), pouvant à terme potentiellement mener à des changements adaptatifs et à l'émergence de pathogènes dans des zones non endémiques, ce qui en fait une menace émergente à l’échelle mondiale. Ce travail de thèse se focalise sur la schistosomiase, seconde maladie parasitaire humaine et sa récente émergence en Europe (Corse, France). Après l’identification et la caractérisation génomique d’un parasite hybride entre deux agents distincts de la maladie, S. haematobium chez l’homme et S. bovis chez les bovins, nous avons mené une approche intégrative afin de caractériser à plusieurs échelles les capacités invasives et la virulence de tels parasites. A partir de souches du terrain, nous avons mis en place un protocole d’évolution expérimentale visant à générer des hybrides de première et deuxième générations au laboratoire. Nous avons analysé les modifications de traits d’histoire de vie de ces parasites ainsi que les conséquences moléculaires (génomique et transcriptomique) de ce « clash génomique » et nous montrons que l’hybridation peut être une force évolutive majeure pour les parasites. / Global changes contribute in modifying species geographical distribution. New interactions between species that have never been in contact before can potentially lead to atypical cases of reproduction, including hybridization. This phenomenon can have strong epidemiological consequences as it can potentially lead to the genesis of hybrid pathogens. The combination of genetic material of distinct species can confer increased capacities to the offspring (hybrid vigor or heterosis), eventually leading to adaptive changes and the emergence of pathogens in non-endemic areas, making them an emerging global threat. This thesis work focuses on schistosomiasis, the second human parasitic disease after malaria and its recent emergence in Europe (Corsica, France). After the identification and genomic characterization of a hybrid parasite between two distinct agents of the disease, S. haematobium in humans and S. bovis in cattle, we conducted an integrative approach to characterize at several scales the invasive capacities and virulence of such parasites. Starting from the field, we set up an experimental evolution protocol aimed at generating first- and second-generation hybrids in the laboratory. We analysed life history trait modifications of these parasites as well as the molecular consequences (genomics and transcriptomics) of this "genomic clash" and we show that hybridization can be a major evolutionary force for parasites.

Les ARN sont des molécules aux propriétés diverses interagissant les uns avec les autres dans le but de médier des fonctions spécifiques. L’évaluation de l’abondance relative des ARN est une étape cruciale à la compréhension de la stoechiométrie nécessaire à ces fonctions. Cependant, plusieurs biais et limitations s’imposent avec l’utilisation de différentes techniques d’évaluation, dont le séquençage d’ARN (RNA-Seq), qui sont problématiques dans l’estimation de l’abondance de différents types d’ARN. De récentes études ont exposé les avantages d’un protocole novateur de RNA-Seq qui utilise une rétrotranscriptase thermostable d’intron de groupe II (TGIRT) d’origine bactérienne afin de réduire ces biais. Ce mémoire fait la comparaison entre différentes techniques de RNA-Seq afin d’élucider si l’utilisation de TGIRT en RNA-Seq offre une représentation plus juste du transcriptome. Les comparaisons avec les valeurs d’abondance de différents types d’ARN décrites dans la littérature ainsi qu’obtenues expérimentalement par notre groupe pointent au fait que TGIRT donne une meilleure estimation de l’abondance relative des ARN, et plus particulièrement des ARN hautement structurés. Cette meilleure estimation de l’ensemble de la composition du transcriptome permet de faire des observations sur les rapports d’abondance entre des ARN codants et non-codants fonctionnellement apparentés. Notamment, des ratios d’expression constants entre les ARN non-codants associés à des RNP et les ARNm codants pour leur facteurs protéiques ont été observés. Ceci suggère la présence d’une régulation transcriptionnelle commune nécessaire à la stoechiométrie de ces complexes. Une forte disparité dans l’expression des snoRNA et de leurs gènes hôtes, dépendant du type de snoRNA et de gène hôte a par ailleurs été constatée, corroborant une régulation distincte de la stabilité de ces transcrits. Dans l’ensemble, nos données suggèrent que la méthode TGIRT-Seq est la plus appropriée dans l’évaluation du transcriptome entier et ouvre donc la voie à des analyses plus holistiques par RNA-Seq en donnant une estimation plus juste de l’abondance relative des transcrits d’ARN. / Abstract : RNA are molecules with a wide range of properties that can interact with one another to mediate specific function. The evaluation of RNA abundance is a crucial step in understanding the stoichiometry needed for these functions. However, many limitations and biases come with the use of different techniques, including RNA sequencing (RNA-Seq), which affects the estimation of the abundance of different RNA types. Recent studies have exposed the advantages of a new RNA-Seq protocol using a thermostable group II intron reverse transcriptase (TGIRT) of bacterial origin to reduce these biases. This thesis makes the comparison between different RNA-Seq techniques to elucidate if the use of TGIRT in RNA-Seq offers a more representative depiction of the transcriptome. The comparisons with the abundance values given in literature and obtained experimentally by our group agree with the fact that TGIRT gives a better estimation of the relative abundance of RNA, especially highly structured RNA. This better estimation of the transcriptomic landscape allows many observations on the abundance relations between coding and non-coding RNA that are functionally related. Namely, constant expression ratios between RNP associated noncoding RNA and the mRNA that codes for their associated proteins have been observed. This suggests the presence of a common transcriptional regulation which is necessary for the stoichiometry of these complexes. A strong disparity in the expression of snoRNA and their host genes depending on snoRNA and host gene types has also been observed and corroborate a distinct regulation of these transcripts’ stability. In summary, our data suggest that the TGIRT-Seq method is the most appropriate to evaluate the transcriptome and thus opens the way to more holistic RNA-Seq analyses by giving a better estimation of RNA transcripts relative abundance.

Bipolar disorder and schizophrenia are two severe psychiatric disorders characterized by a complex genetic basis, coupled to the influence of environmental factors. In this thesis, functional genomic analysis tools were used for the study of the underlying pathophysiology of these disorders, focusing on gene expression and function on a global scale with the application of high-throughput methods. Datasets from public databases regarding transcriptomic data of postmortem brain and skin fibroblast cells of patients with either schizophrenia or bipolar disorder were analyzed in order to identify differentially expressed genes. In addition, fibroblast cells of bipolar disorder patients obtained from the Biobank of the Neuropsychiatric Research Laboratory of Örebro University were cultured, RNA was extracted and used for microarray analysis. In order to gain deeper insight into the biological mechanisms related to the studied psychiatric disorders, the differentially expressed gene lists were subjected to pathway and target prioritization analysis, using proprietary tools developed by the group of Metabolic Engineering and Bioinformatics, of the National Hellenic Research Foundation, thus indicating various cellular processes as significantly altered. Many of the molecular processes derived from the analysis of the postmortem brain data of schizophrenia and bipolar disorder were also identified in the skin fibroblast cells. Additionally, through the use of machine learning methods, gene expression data from patients with schizophrenia were exploited for the identification of a subset of genes with discriminative ability between schizophrenia and healthy control subjects. Interestingly, a set of genes with high separating efficiency was derived from fibroblast gene expression profiling. This thesis suggests the suitability of skin fibroblasts as a reliable model for the diagnostic evaluation of psychiatric disorders and schizophrenia in particular, through the construction of promising machine-learning based classification models, exploiting gene expression data from peripheral tissues.