Tnt1 is a transcriptionally active LTR-retrotransposon, present in over 600 copies in the Nicotiana tabacum genome. Under normal growth conditions, Tnt1 expression is limited to basal levels, but its expression is further induced under biotic and abiotic stresses. Transgenic tobacco plants (HP plants) expressing a Tnt1 reverse transcriptase hairpin were generated. These showed pleiotropic phenotypes such as cell death spots on the leaves and callose deposition and other severe abnormal development in aerial and underground portions. RNA sequencing of leaves with cell death spots revealed a rewiring of transcriptional regulatory networks related to stress responses exclusive to HPs. Among the positively modulated genes were ethylene synthesis and response cascade genes. The objective of the present work was to unravel the relation observed between Tnt1 and ethylene, generating a model. The results obtained suggest that HP seedlings and plants have increased ethylene synthesis when compared to the wildtype. Folding prediction of Tnt1 messenger RNA allowed the identification of ethylene-responsive sequences in putative stem loop locations. Thus it is possible that Tnt1 expression can produce small RNAs targeted to sequences present in the Tnt1 retrotransposon itself as well as at the promoter region of other ethylene responsive genes. Quantification of the expression of Tnt1 and ethylene related genes revealed \"phase opposition\" expression kinetics in the HPs, which led us to hypothesize that there might be an antagonistic relationship between the expression of Tnt1 and the expression of ethylene responsive genes involved in plant defense responses. Our findings suggest that Tnt1 could generate sRNAs that exerts transcriptional control over itself as well as other genes. Our model establishes a completely new biological role for a retrotransposon: Tnt1 would provide feedback control to ethylene-mediated gene regulation in tobacco defense responses, bringing the system back to a homeostatic condition and turning the defense responses down. / Tnt1 é um retrotransposon com LTR transcricionalmente ativo, e está presente em mais de 600 cópias no genoma de Nicotiana tabacum. Em condições normais de crescimento Tnt1 é expresso em níveis basais. No entanto, sua expressão é induzida pelo estímulo de estresses bióticos e abióticos. Plantas de tabaco transgênicas (chamadas de HP) expressando um grampo da transcriptase reversa de Tnt1 foram geradas. Estas apresentaram fenótipos como: pontos de morte celular e deposição de calose nas folhas e severas anomalias de desenvolvimento severas nas porções aérea e radicular das plantas. Sequenciamento de RNA de folhas com os pontos de morte celular revelou uma reorganização de redes de regulação transcricional relacionadas a resposta a estresses. Essas novas redes surgiram exclusivamente nas plantas HP. Entre os genes modulados positivamente estavam genes de síntese e de resposta ao etileno. O presente trabalho teve como objetivo elucidar a relação observada entre Tnt1 e o fitormônio etileno gerando um modelo de atuação. Os resultados obtidos permitiram demonstrar que plântulas e plantas HP adultas tem um aumento na síntese de etileno quando comparadas à selvagem. A predição do dobramento do RNA mensageiro de Tnt1 permitiu a identificação de sequências responsivas ao etileno localizadas em posição potencial para formar grampos. Desta forma, é possível que a expressão de Tnt1 leve à produção de pequenos RNAs que tem como alvo sequências responsivas a etileno presentes tanto no próprio elemento quanto em regiões promotoras de outros genes. A quantificação da expressão de Tnt1 versus genes relacionados ao etileno revelou um padrão em \"oposição de fase\" nas HPs, o que nos levou a hipotetizar que talvez ocorra uma relação antagonista entre a expressão de Tnt1 e a expressão de genes responsivos ao etileno envolvidos em respostas de defesa vegetais. Nossos resultados sugerem que Tnt1 pode gerar pequenos RNAs que exercem controle transcricional sobre Tnt1 e outros genes endógenos. Nosso modelo estabelece um novo papel biológico para um retrotransposon: Tnt1 agiria como um modulador da indução de genes mediada por etileno nas respostas de defesa de tabaco, trazendo o sistema de volta à condição homeostática e encerrando as respostas de defesa.

The detection of non-protein-coding RNA (ncRNA) genes in bacteria and their diverse regulatory mode of action moved the experimental and bio-computational analysis of ncRNAs into the focus of attention. Regulatory ncRNA transcripts are not translated to proteins but function directly on the RNA level. These typically small RNAs have been found to be involved in diverse processes such as (post-)transcriptional regulation and modification, translation, protein translocation, protein degradation and sequestration. Bacterial ncRNAs either arise from independent primary transcripts or their mature sequence is generated via processing from a precursor. Besides these autonomous transcripts, RNA regulators (e.g. riboswitches and RNA thermometers) also form chimera with protein-coding sequences. These structured regulatory elements are encoded within the messenger RNA and directly regulate the expression of their “host” gene. The quality and completeness of genome annotation is essential for all subsequent analyses. In contrast to protein-coding genes ncRNAs lack clear statistical signals on the sequence level. Thus, sophisticated tools have been developed to automatically identify ncRNA genes. Unfortunately, these tools are not part of generic genome annotation pipelines and therefore computational searches for known ncRNA genes are the starting point of each study. Moreover, prokaryotic genome annotation lacks essential features of protein-coding genes. Many known ncRNAs regulate translation via base-pairing to the 5’ UTR (untranslated region) of mRNA transcripts. Eukaryotic 5’ UTRs have been routinely annotated by sequencing of ESTs (expressed sequence tags) for more than a decade. Only recently, experimental setups have been developed to systematically identify these elements on a genome-wide scale in prokaryotes. The first part of this thesis, describes three experimental surveys of exploratory field studies to analyze transcript organization in pathogenic bacteria. To identify ncRNAs in Pseudomonas aeruginosa we used a combination of an experimental RNomics approach and ncRNA prediction. Besides already known ncRNAs we identified and validated the expression of six novel RNA genes. Global detection of transcripts by next generation RNA sequencing techniques unraveled an unexpectedly complex transcript organization in many bacteria. These ultra high-throughput methods give us the appealing opportunity to analyze the complete RNA output of any species at once. The development of the differential RNA sequencing (dRNA-seq) approach enabled us to analyze the primary transcriptome of Helicobacter pylori and Xanthomonas campestris. For the first time we generated a comprehensive and precise transcription start site (TSS) map for both species and provide a general framework for the analysis of dRNA-seq data. Focusing on computer-aided analysis we developed new tools to annotate TSS, detect small protein-coding genes and to infer homology of newly detected transcripts. We discovered hundreds of TSS in intergenic regions, upstream of protein-coding genes, within operons and antisense to annotated genes. Analysis of 5’ UTRs (spanning from the TSS to the start codon of the adjacent protein-coding gene) revealed an unexpected size diversity ranging from zero to several hundred nucleotides. We identified and validated the expression of about 60 and about 20 ncRNA candidates in Helicobacter and Xanthomonas, respectively. Among these ncRNA candidates we found several small protein-coding genes that have previously evaded annotation in both species. We showed that the combination of dRNA-seq and computational analysis is a powerful method to examine prokaryotic transcriptomes. Experimental setups are time consuming and often combined with huge costs. Another limitation of experimental approaches is that genes which are expressed in specific developmental stages or stress conditions are likely to be missed. Bioinformatic tools build an alternative to overcome such restraints. General approaches usually depend on comparative genomic data and evolutionary signatures are used to analyze the (non-)coding potential of multiple sequence alignments. In the second part of my thesis we present our major update of the widely used ncRNA gene finder RNAz and introduce RNAcode, an efficient tool to asses local protein-coding potential of genomic regions. RNAz has been successfully used to identify structured RNA elements in all domains of life. However, our own experience and the user feedback not only demonstrated the applicability of the RNAz approach, but also helped us to identify limitations of the current implementation. Using a much larger training set and a new classification model we significantly improved the prediction accuracy of RNAz. During transcriptome analysis we repeatedly identified small protein-coding genes that have not been annotated so far. Only a few of those genes are known to date and standard proteincoding gene finding tools suffer from the lack of training data. To avoid an excess of false positive predictions, gene finding software is usually run with an arbitrary cutoff of 40-50 amino acids and therefore misses the small sized protein-coding genes. We have implemented RNAcode which is optimized for emerging applications not covered by standard protein-coding gene annotation software. In addition to complementing classical protein gene annotation, a major field of application of RNAcode is the functional classification of transcribed regions. RNA sequencing analyses are likely to falsely report transcript fragments (e.g. mRNA degradation products) as non-coding. Hence, an evaluation of the protein-coding potential of these fragments is an essential task. RNAcode reports local regions of high coding potential instead of complete protein-coding genes. A training on known protein-coding sequences is not necessary and RNAcode can therefore be applied to any species. We showed this with our analysis of the Escherichia coli genome where the current annotation could be accurately reproduced. We furthermore identified novel small protein-coding genes with RNAcode in this extensively studied genome. Using transcriptome and proteome data we found compelling evidence that several of the identified candidates are bona fide proteins. In summary, this thesis clearly demonstrates that bioinformatic methods are mandatory to analyze the huge amount of transcriptome data and to identify novel (non-)coding RNA genes. With the major update of RNAz and the implementation of RNAcode we contributed to complete the repertoire of gene finding software which will help to unearth hidden treasures of the RNA World.

No description available.

Les organismes bactériens sont en contact direct avec leur environnement et doivent donc constamment s’acclimater aux variations de celui-ci. Pour cela, plusieurs leviers de régulations peuvent être actionnés. Récemment, la régulation post-transcriptionnelle par les ARN régulateurs a été proposée comme un mécanisme de régulation rapide et peu coûteux pour la cellule. Chez le phytopathogène Dickeya dadantii, la régulation de la virulence a quasi exclusivement été étudiée au niveau transcriptionnel et l’implication des ARN régulateurs dans la virulence reste très peu connue. Pour cela, nous avons tout d’abord étudié le rôle des chaperons à ARN dans la pathogénie de D. dadantii et mis en évidence leur implication dans de nombreux facteurs de virulence comme la production d’enzyme de dégradation de la paroi végétale. Puis, nous avons développé une nouvelle méthode d’identification d’ARN à partir de données RNA-seq. Cette méthode a été développée pour tirer profit des séquençages réalisés en paired-end, permettant de séquencer les deux extrémités d’un transcrit. Son évaluation dans sa capacité à détecter de manière précise des ARN connus a montré une performance supérieure aux méthodes de détection existantes. Enfin, cette nouvelle méthode a été appliquée sur des données de séquençage de petits transcrits. Cette analyse nous a permis d’identifier plus d’un millier d’ARN régulateurs potentiels, dont plusieurs pourraient être impliqués dans la régulation de la virulence. Ces travaux ont donc permis de mettre en lumière l’existence d’une régulation post-transcriptionnelle chez D. dadantii et de proposer des pistes concernant les acteurs et mécanismes concernés / Bacterial organisms are directly exposed to environmental conditions and have to respond to environmental stress. To do so, several regulation network are known. Recently, post transcriptional regulation with small RNAs was suggested to be a fast and cheap in energy regulation mechanism. In the phytopathogen Dickeya dadantii, investigations on pathogenic process mostly focused on its control by transcriptional regulators. Knowledge of post-transcriptional regulation of the virulence factors is still in its infancy.To this end, we first studied the impact of RNA chaperones in the virulence of D. dadantii and showed that they were involved in the regulation of several virulence factors, like production of cell wall degrading enzyme. Then, we developed a new method to detect sRNAs from paired-end bacterial RNA-seq data. This method take paired end sequencing into account, which allow the sequencing of the both ends of each fragment. A comparative assessment showed that this method outperforms all the existing methods in terms of sRNA detection and boundary precision. Finally, this method was applied to sequencing data. With this analysis, more than one thousand sRNAs has been detected, with the identification of several candidates potentially involved in virulence.Thereby, this work highlight the existence of post-transcriptionnal regulation in D. dadantii and suggest candidates and mechanisms involved in this regulation

Chez tous les eucaryotes, la régulation de l’expression génique est primordiale pour le contrôle du cycle cellulaire. Un large éventail de gènes, incluant des régulateurs essentiels du cycle, mais aussi d’autre gènes impliqués dans la transduction du signal, la régulation hormonale et le métabolisme sont ainsi exprimé à certaines phases du cycle. Ces changements sont contrôlés à de multiples niveaux, notamment de façon transcriptionnelle et post-traductionnelle. Chez les mammifères, il est aujourd’hui évident que les micro ARNs contribuent à cette régulation en ciblant spécifiquement les transcrits d’un grand nombre de gènes régulés au cours du cycle. Cependant, nous n’avons que très peu d’informations à ce jour concernant le rôle des petits ARNs sur le contrôle de la prolifération cellulaire chez les plantes. Mes travaux de thèse ont permis de démontrer que la perte d’AGO1 affecte la prolifération cellulaire et l’activité du méristème racinaire. Nous avons également séquencé les transcrits, les petits ARNs et le dégradome à partir de cellules BY-2 synchronisées afin de déterminer le répertoire et la fonction des petit ARNs au cours du cycle cellulaire. / In all eukaryotes, regulated gene expression is key to orchestrate cell cycle progression. Not only genes encoding important core cell cycle regulators, but also genes of a variety of other factors involved in signal transduction, hormonal regulation and metabolic control are expressed at specific time points of the cell cycle. These changes in gene expression are controlled at multiple levels, including transcriptional and post-translational controls. In mammals, it became evident that microRNAs contribute to this regulation by targeting the transcripts of numerous cell cycle-regulated genes. However, in plants we still know little about the regulatory roles of small RNAs in the control of cell proliferation. During my thesis, I showed that depletion of Arabidopsis AGO1 impairs cell proliferation and root meristem activity. To further determine the repertoire and role of sRNAs in cell cycle regulation, we thus sequenced total RNAs and small RNAs, AGO1-associated small RNAs and the RNA degradome of synchronized BY2 cells at S-, G2-, M- and G1-phases of the cell cycle.

Comme tous les ciliés, P. tetraurelia réarrange son génome à chaque génération sexuelle pendant le développement de son macronoyau somatique ¿ partir du micronoyau germinal. Les réarrangements incluent l’excision précise de courtes séquences dérivant de transposons et appelés IES (Internal Eliminated Sequences) dont la majorité sont intragéniques. L’excision d’une fraction d’entre elles dépend de petits ARN maternels (appelés scnARN) qui sont produits à partir de tout le génome germinal pendant la méiose. Ce mécanisme pose un problème lors d’une conjugaison entre deux souches présentant des polymorphismes d’insertion : une cellule sera théoriquement incapable d’exciser une IES portée par l’allèle paternel reçu si cette IES est absente de l’allèle maternel ou si la séquence est trop divergente. Mes résultats montrent cependant que les allèles paternels divergents sont correctement excisés en utilisant les scnARN produit par la cellule paternelle. Dans le cas d’un polymorphisme absence/présence, l’IES que j’ai étudié est excisée chez 70 % des hétérozygotes F1, également via les scnARN paternels. Nous avons exploré deux hypothèses pour expliquer comment ils pouvaient agir. Il pourrait s’agir d’une programmation précoce des noyaux gamétiques ou alors d’un échange cytoplasmique des scnARN. Finalement, j’ai montré qu’un défaut de scnARN maternels n’est pas une cause possible de dysgénésie hybride. Cependant, 30 % des hétérozygotes F1 présentent une rétention variable de l’IES étudié via un mécanisme inconnu. Si cela est généralisable à toutes les IES homozygotes, alors ce mécanisme aurait un effet délétère sérieux sur les F1 et pourrait contribuer à l’isolement reproductif. / Like all ciliates, P. tetraurelia entirely rearranges its genome during development of the somatic macronucleus from the germline micronucleus, in each sexual generation. Rearrangements include the precise excision of IESs (Internal Eliminated Sequences), single-copy intervening sequences likely derived from transposon insertions. At least for a fraction of IESs, correct excision, which is required to reconstitute functional genes in the macronucleus, is thought to depend on their recognition by Piwi-bound small RNAs (called scnRNAs) produced from the maternal germline genome during meiosis. This raises a problem during conjugation between strains presenting insertion polymorphisms: a cell will be theoretically unable to excise an IES from the incoming (paternal) allele if that IES is absent from the maternal allele, or if its sequence is too divergent. Our results, however, indicate that divergent paternal alleles are correctly rearranged, using scnRNAs produced by the paternal cell. In the case of an absence/presence polymorphism, the IES we studied is excised in 70% of heterozygotes, also using paternal scnRNAs. We explored two hypotheses to explain how they can act. It could be either an early programming of the gametic nuclei or through cytoplasmic exchange of scnRNAs. My results seem to favor the latter. Overall, I showed that the lack of maternal scnRNAs is not a possible cause of hybrid dysgenesis. However, 30% of heterozygous F1 display a variable retention of the IES through an unknown mechanism. If this is true for all hemizygous IESs then it will have a strong deleterious effect on hybrid F1s and may contribute to reproductive isolation.

Background: Small nucleolar RNAs (snoRNAs) are one of the most ancient families amongst non-protein-coding RNAs. They are ubiquitous in Archaea and Eukarya but absent in bacteria. Their main function is to target chemical modifications of ribosomal RNAs. They fall into two classes, box C/D snoRNAs and box H/ACA snoRNAs, which are clearly distinguished by conserved sequence motifs and the type of chemical modification that they govern. Similarly to microRNAs, snoRNAs appear in distinct families of homologs that affect homologous targets. In animals, snoRNAs and their evolution have been studied in much detail. In plants, however, their evolution has attracted comparably little attention. Results: In order to chart the phylogenetic distribution of individual snoRNA families in plants, we applied a sophisticated approach for identifying homologs of known plant snoRNAs across the plant kingdom. In response to the relatively fast evolution of snoRNAs, information on conserved sequence boxes, target sequences, and secondary structure is combined to identify additional snoRNAs. We identified 296 families of snoRNAs in 24 species and traced their evolution throughout the plant kingdom. Many of the plant snoRNA families comprise paralogs. We also found that targets are well-conserved for most snoRNA families. Conclusions: The sequence conservation of snoRNAs is sufficient to establish homologies between phyla. The degree of this conservation tapers off, however, between land plants and algae. Plant snoRNAs are frequently organized in highly conserved spatial clusters. As a resource for further investigations we provide carefully curated and annotated alignments for each snoRNA family under investigation.

No description available.