La métamorphose des amphibiens est le processus rapide et irréversible par lequel un têtard aquatique se transforme en une grenouille respirant à la surface. Cette transition écologique, réminiscente de la période périnatale chez les mammifères, s'accompagne de changements spectaculaires (régime alimentaire, organes locomoteurs, système respiratoire...). Ces modifications morphologiques et physiologiques nécessitent la réponse concertée à un signal hormonal, les hormones thyroïdiennes (HT), de différents tissus vers des destin parfois opposés : apoptose (dans la queue), prolifération (dans les pattes), et remodelage (dans les intestins et le système nerveux central). Toutefois, la synchronisation de la réponse des différents tissus fait appel à d'autres signaux hormonaux, et notamment les glucocorticoïdes (GC). Ces derniers sont également les médiateurs principaux de la réponse au stress. Les processus endocriniens de la métamorphose et la réponse au stress sont fortement couplés. Les GC peuvent ainsi jouer le rôle d'interface permettant l'intégration de signaux environnementaux au niveau de réseaux de régulation. Dans le cadre de mon doctorat, j'ai analysé les transcriptomes des bourgeons de membres postérieurs et de l'épiderme caudal de têtards de Xenopus tropicalis traités ponctuellement avec des HT et / ou des GC. La comparaison de ces deux tissus a permis de caractériser la diversité des profils d'expression des gènes cibles des HT et des GC.Il en ressort plusieurs résultats majeurs. Tout d'abord, la diversité des profils d'interaction entre ces deux voies est limitée, et la majorité des types de profils sont communs aux deux tissus. Indépendamment du tissu, certains profils sont caractéristiques de fonctions biologiques spécifiques comme le remodelage de la matrice extracellulaire et le système immunitaire. Les gènes impliqués dans ces fonctions communes aux deux tissus sont cependant différents. Enfin, plusieurs facteurs impliqués dans la méthylation de l'ADN sont régulés par les deux hormones. / Amphibian metamorphosis is the rapid and irreversible process during which an aquatic tadpole transforms into an air breathing adult frog. This ecological transition, reminiscent of the mammalian perinatal period, comes with spectacular changes (diet, locmotor organs, respiratory system...). These morphological and physiological modifications necessitate the properly timed response to a single hormonal signal, the thyroid hormones (TH), in various tissues to lead them to sometimes opposite fates : apoptosis (in the tail), cell prolifération and differenciation (in the limbs) and remodeling (in the intestine and the central nervous system).However, TH do not act alone. In particular, glucocorticoids (GC) play important roles during this process. They also are the main mediator of the stress response. Endocrine processes of the metamorphosis and the stress response are deeply intertwined. GC can thus act as an interface to integrate environmental inputs into regulatory networks.During my doctorate, I analyzed the possible transcriptional crosstalks between TH and GC in two larval tissues : the tailfin (TF) and the hindlimb buds (HLB). Comparing these two tissues allowed me to caracterize the diversity of TH and GC target gene expression profiles. This resulted in several major results. First, the diversity of the profiles of crosstalk between these two pathways is limited, and the majority of the types of profiles is common to both tissues. Next, independently ofthe tissues, some profiles are caracteristic of spécific biological functions such as extracellular matrix remodeling and the immune system. Yet, the genes involved in these shared functions are different between the TF and the HLB. Finally, several factors involved in DNA methylation are subject to a crosstalk between the two hormones.

O trigo (Triticum aestivum L.) é uma importante cultura no Brasil. Poucas cultivares são recomendadas para produção do tipo sequeiro no Bioma Cerrado onde a escassez de água limita o rendimento de grãos. Aqui reportamos uma análise de transcriptoma do MGS1 Aliança (cultivar de trigo adaptada ao Cerrado) sob estresse de seca. Um grupo de 4.422 transcritos diferencialmente expressos foi encontrado em raízes e folhas. O número de transcritos reprimidos em raiz (1.102) foi menor que os transcritos induzidos (1.706), enquanto o oposto ocorreu em folhas (1,017 induzidos e 647 reprimidos). O número de transcritos comuns entre ambos órgaõs foi 1.249, enquanto 2.124 foram específicos para raíz e 1.049 específicos para folhas. Análises de RT-qPCR de 35 transcritos selecionados ao acaso revelou uma correlação de 0,78 com os dados de transcriptoma. Os transcritos diferencialmente expressos foram distribuídos por todos os cromossomos e componentes do genoma. O número de transcritos no genoma B foi maior do que nos genomas A e D. Ainda, um grande número de transcritos relacionados à seca foi mapeado nos cromossomos 3B, 5B e 2B. Quando consideramos ambos órgãos, 116 diferentes rotas metabólicas foram alteradas. Uma rota em comum, entre as três mais alteradas em ambos órgãos, foi o metabolismo do amido e da sacarose. A comparação de transcritos derivados de raiz e de folha permite a identificação de transcritos importantes relacionados à respota ao estresse de seca em cada um destes órgãos. Os dados obtidos, também, abrem caminho para o desenvolvimento de futuros marcadores e seleção de genes candidatos ligados à característica. Estes resultados são úteis para o entendimento de rotas metabólicas envolvidas na tolerância à seca em trigo. A informação gerada será usada, a mais longo prazo, para propósitos de transgenia. Para isto, a metodologia de duplo-haploides é desejável e uma primeira investigação sobre a eficiência de protocolo se mostrou necessária. Micrósporos são células gaméticas com capacidade de dar origem a uma nova planta via embriogênese in vitro. Plantas duplo-haploides geradas pela cultura de micrósporos isolados são completamente homozigotas e representam uma importante ferramenta para estudos genéticos e melhoramento de plantas O processo androgenético é desencadeado por diferentes pré-tratamentos de estresse, os quais são empregados para mudar os micrósporos da rota gametofítica para a rota esporofítica. Embora a cultura de micrósporos isolados tenha inúmeras vantagens, importantes limitações tem impedido sua apliação em larga escala. Diferenças genotípicas na resposta androgenética e na formação de plantas albinas ainda constituem desafios. Embora o albinismo seja principalmente uma característica genética, pré-tratamentos e meios de cultura apropriados podem evitar este fenômeno até certo ponto. A resposta androgenética de cinco genótipos de trigo brasileiro foi avaliada no presente estudo. Dois pré-tratamentos foram testados: frio (4°C) e ácido 2-hidroxinicotinico (100 mg/L). O frio foi melhor que o pré-tratamento químico, produzindo mais plantas verdes em quatro de cinco genótipos. Somente dois genótipos brasileiros tratados com ácido 2-hidroxinicotinico produziram plantas, e um deles apenas uma única planta albina. Nossos reultados mostram, também, que o meio semilíquido (contendo 10% de Ficoll) promoveu uma maior resposta androgenética que o meio líquido, aumentando o número de embriões e plantas regeneradas. / Wheat (Triticum aestivum L.) is an important crop cultivated in Brazil. Few cultivars are recommended for rainfed production in the Cerrado Biome where water scarcity limits grain yield. Here we report a transcriptome analysis of MGS1 Aliança (a wheat cultivar adapted to the Cerrado) under drought stress. A set of 4,422 differentially expressed transcripts was found in roots and leaves. The number of down-regulated transcripts in roots (1,102) was lower than the up-regulated transcripts (1,706), while the opposite occurred in leaves (1,017 induced and 647 repressed). The number of common transcripts between the two tissues was 1,249, while 2,124 were specific to roots and 1,049 specific to leaves. Quantitative RT-PCR analysis of 35 randomly selected transcripts revealed a 0.78 correlation with the transcriptome data. The differentially expressed transcripts were distributed across all chromosomes and component genomes. The number of transcripts on the B genome was greater than on the A and D genomes. Additionally, a greater number of drought related transcripts was mapped on chromosomes 3B, 5B and 5D. When considering both tissues, 116 different metabolic pathways were changed. One common pathway, among the top three changed pathways in both tissues, was starch and sucrose metabolism. The comparison of root- and leaf-derived transcripts allows the identification of important transcripts related to water stress response in each of these tissues. It also paves the way for future marker development and selection of candidate genes linked to that trait. These results are useful for understanding the metabolic pathways involved in wheat drought response. The information generated will be used for transgenic wheat purposes. For this the doubled-haploid method is desirable and an investigation about the protocol eficiency is needed. Microspores are gametic cells with capacity to give rise to a new plant via in vitro embryogenesis. Doubled haploid plants generated by isolated microspore culture are completely homozygous and represent an important tool for plant genetics and breeding research. This process is triggered by different stress pretreatments, which are employed to switch microspores from gametophytic to a sporophytic pathway. Although isolated microspore culture has innumerous advantages, important limitations have prevented its application on a large scale. Genotypic differences in androgenic response and the formation of albino plants remain great challenges. Although albinism is a major genetic characteristic, appropriated pretreatments and culture medium can avoid this phenomenon to some extent. The androgenic response of five Brazilian wheat genotypes was evaluated in the present study. Two pretreatments were tested: cold (4°C) and 2-hydroxynicotinic acid (100 mg/L). Cold was better than chemical pretreatment, producing more green plants in four out of five genotypes. Only two Brazilian genotypes treated with 2-hydroxynicotinic acid produced plants, and one of them produced a single albino plant. Our results also show that semi-liquid medium (containing 10% Ficoll) promoted a higher androgenic response than did liquid medium, increasing the number of embryos and regenerated plants.

Transcriptomics and gene expression profiling enables the elucidation of the genetic response of an organism to various environmental cues. Transcriptomics enables the deciphering of differences between two closely related organisms to the same environment and in contrast, enables the elucidation of genetic responses of the same organism to different environmental cues. Two major methods are utilized for the study of transcriptomes, high-throughput sequencing and microarray analysis. High-throughput sequencing technologies such as the Illumina platform are relatively new and protocols must be developed for the analyses of transcriptomes (RNA-sequencing). A RNA-seq protocol was developed and refined for the Illumina sequencing platform. This protocol was then utilized for the de novo sequencing of the steelhead salmon transcriptome. Hatchery steelhead exhibit a reduced fitness compared to wild steelhead that has been shown to be genetically based. Consequently, the steelhead transcriptome was assembled, annotated, and used to identify gene expression differences between hatchery and wild fish. We uncovered many differentially expressed genes involved in metabolic processes and growth and development. This work has created a better understanding of the genetic differences between hatchery and wild steelhead salmon. Brachypodium distachyon is a monocot grass important as a model for cereal crops and potential biofuels feedstocks. To better understand the genetic response of this plant to different environmental cues, a comprehensive assessment of the transcriptomic response was conducted under a variety of conditions including diurnal/circadian light/dark/temperature environments and different abiotic stress conditions. Using a whole-genome tiling DNA microarray, we identified that the majority of transcripts in Brachypodium exhibit a daily rhythm in their abundance that is conserved between rice and Brachypodium. We also identified numerous cis-regulatory elements dictating these rhythmic expression patterns. We also identified the genetic response to abiotic stresses such as salinity, drought, cold, heat, and high light. We uncovered a core set of genes which responds to all stresses, indicating a core stress response. A large number of transcription factors were uncovered as potential nodes for regulating the abiotic stress response in Brachypodium. Moreover, promoter elements that drive specific responses to discrete abiotic stresses were uncovered. Altogether, the transcriptome analyses in this work furthers our understandings of how particular organisms respond to environmental cues and better elucidates the relationship between genes and the environment. / Graduation date: 2012 / Access restricted to the OSU Community at author's request from Oct. 5, 2011 - April 5, 2012.

This thesis is about the use of massive DNA sequencing to investigate the transcriptome. During recent decades, several studies have made it clear that the transcriptome comprises a more complex set of biochemical machinery than was previously believed. The majority of the genome can be expressed as transcripts; and overlapping and antisense transcription is widespread. New technologies for the interroga- tion of nucleic acids have made it possible to investigate such cellular phenomena in much greater detail than ever before. For each application, special requirements need to be met. The work presented in this thesis focuses on the transcrip- tome and the development of technology for its analysis. In paper I, we report our development of an automated approach for sample preparation. The procedure was benchmarked against a publicly available reference data set, and we note that our approach outperformed similar manual procedures in terms of reproducibility. In the work reported in papers II-IV, we used different massive sequencing technologies to investigate the transcriptome. In paper II we describe a concatemerization approach that increased throughput by 65% using 454 sequencing,and we identify classes of transcripts not previously described in Populus. Papers III and IV both report studies based on SOLiD sequencing. In the former, we investigated transcripts and proteins for 13% of the human gene and detected a massive overlap for the upper 50% transcriptional levels. In the work described in paper IV, we investigated transcription in non-genic regions of the genome and detected expression from a high number of previ- ously unknown loci. / QC 20100723

Understanding the genetic basis of biological processes is a fundamental component of modern ecology and evolutionary biology studies. With the recent advent of next generation sequencing (NGS) technologies, it is now possible to perform large genome and transcriptome projects for ecologically important non-model species. In this thesis, I focused on the development and application of genomic resources of two non-model bird species, the black grouse (Tetrao tetrix) and the great snipe (Gallinago media). Using the chicken genome as a reference, I developed a reference guided NGS pipeline to assemble the complete draft genome of black grouse. The draft genome has a good coverage of the main 29 chromosomes of the chicken genome. The genome was used to develop a vast number of genetic markers. Comparing this genome with that of other species, I identified the genomic regions which were important for the lineage specific evolution of black grouse. I also sequenced and characterised the spleen transcriptome of the black grouse. I identified and validated a large number of gene-based microsatellite markers from the transcriptome and identified and confirmed the expression of immune related genes. Using a similar RNA-Seq approach, I also sequenced the blood transcriptomes of 14 great snipe males with different mating success. I identified genes and single nucleotide polymorphisms (SNPs) which might be related to male mating success in this species, both in terms of gene expression levels and genetic variation structure. For the immunologically important major histocompatibility complex (MHC) gene region of black grouse, I constructed a fosmid library and used it to sequence the complete core MHC region of this species. This resource allowed me to perform a comprehensive comparative genomics analysis of the galliform MHC, by which I found that some genes in this region were affected by selective forces. I was also able to develop a single locus genotyping protocol for the duplicated MHC BLB (class IIB) genes and found that the two black grouse BLB loci followed different evolutionary trajectories. This thesis set an example of developing genomic resources in non-model species and applying them in addressing questions relevant to ecology and evolutionary biology.

Massively parallel whole transcriptome sequencing and its ability to generate full transcriptome data at the single transcript level provides a powerful tool with multiple interrelated applications, including transcriptome reconstruction, gene/isoform expression estimation, also known as transcriptome quantification. As a result, whole transcriptome sequencing has become the technology of choice for performing transcriptome analysis, rapidly replacing array-based technologies. The most commonly used transcriptome sequencing protocol, referred to as RNA-Seq, generates short (single or paired) sequencing tags from the ends of randomly generated cDNA fragments. RNA-Seq protocol reduces the sequencing cost and significantly increases data throughput, but is computationally challenging to reconstruct full-length transcripts and accurately estimate their abundances across all cell types. We focus on two main problems in transcriptome data analysis, namely, transcriptome reconstruction and quantification. Transcriptome reconstruction, also referred to as novel isoform discovery, is the problem of reconstructing the transcript sequences from the sequencing data. Reconstruction can be done de novo or it can be assisted by existing genome and transcriptome annotations. Transcriptome quantification refers to the problem of estimating the expression level of each transcript. We present a genome-guided and annotation-guided transcriptome reconstruction methods as well as methods for transcript and gene expression level estimation. Empirical results on both synthetic and real RNA-seq datasets show that the proposed methods improve transcriptome quantification and reconstruction accuracy compared to previous methods.

No description available.

Next Generation Sequencing (NGS) is a new technology that has revolutionized the way we study living organisms. Where previously only a few genes could be studied at a time through targeted direct probing, NGS offers the possibility to perform measurements for a whole genome at once. The drawback is that the amount of data generated in the process is large and extracting useful information from it requires new methods to process and analyze it. The main contribution of this thesis is the development of a novel experimental method coined tagRNA-seq, combining 5’tagRACE, a previously developed technique, with RNA-sequencing technology. Briefly, tagRNA-seq makes it possible to identify the 5’ ends of RNAs in bacteria and directly probe for their type, primary or processed, by ligating short RNA sequences, the tags, to the beginnings of RNA molecules. We used the method to directly probe for transcription start and processing sites in two bacterial species, Escherichiacoli and Enterococcus faecalis. It was also used to study polyadenylation in E. coli, where the ability to identify processed RNA molecules proved to be useful to separate direct and indirect regulatory effects of this mechanism. We also demonstrate how data from tagRNA-seq experiments can be used to increase confidence on the discovery of anti-sense transcripts in bacteria. Analyses of RNA-seq data obtained in the context of these experiments revealed subtle artifacts in the coverage signal towards gene ends, that we were able to explain and quantify based Kolmogorov’s broken stick model. We also discovered evidences for circularization of a few RNA transcripts, both in our own data sets and publicly available data. Designing the tags used in tagRNA-seq led us to the problem of words absent from a text. We focus on a particular subset of these, the minimal absent words (MAWs), and develop a theory providing a complete description of their size distribution in random text. We also show that MAWs in genomes from viruses and living organisms almost always exhibit a behavior different from random texts in the tail of the distribution, and that MAWs from this tail are closely related to sequences present in the genome that preferentially appear in regions with important regulatory functions. Finally, and independently from tagRNA-seq, we propose a new approach to the problem of bacterial community reconstruction in metagenomic, based on techniques from compressed sensing. We provide a novel algorithm competing with state-of-the-art techniques in the field. / <p>QC 20150930</p>

Il periodo di transizione (TP) delle vacche da latte è caratterizzata da disfunzione del sistema immunitario e dalla comparsa di fenomeni infiammatori. La tesi ha presentato una vasta revisione della letteratura seguita da 3 articoli sperimentali. Nel capitolo II sono stati investigati i cambiamenti delle citochine pro-infiammatorie (PIC) nel TP. I livelli di PIC hanno mostrato una elevata variabilità in tarda gravidanza, ma i livelli più alti hanno mostrato un’associazione con i problemi di salute e le prestazioni dopo il parto. Nel capitolo III, l'attività immunitaria di vacche in transizione è stata valutata utilizzando un test ex vivo di stimolazione del sangue con lipopolisaccaridi (WBA) e un test cutaneo alla carragenina. I risultati hanno rivelato che il sistema immunitario è molto sensibile in prossimità del parto. Entrambi i test descrivono i cambiamenti del sistema immunitario durante il TP. Nel capitolo IV, è stata valutata l’espressione genica dei leucociti durante il TP con la tecnica dell’ RNA-Seq. Confrontando i geni differenzialmente espressi con i risultati del capitolo II e III sono stati resi noti i cambiamenti funzionali dei leucociti. Complessivamente, queste ricerche contribuiscono a definire meglio la fisiologia della fase di transizione della vacche da latte. / The transition period of dairy cows is characterized by immune dysfunction and inflammatory like conditions. The thesis presented a wide review literature followed by 3 research papers. Chapter II investigated the pattern of changes of pro-inflammatory cytokines (PIC) around parturition and discovered an association with periparturient health status. PIC levels showed a high variability in late pregnancy but the highest levels demonstrated a good relationship with health troubles and performance after calving. In Chapter III, immune activity of transition cows were evaluated using: an ex vivo whole blood stimulation assay (WBA) with lipopolysaccharides and a carrageenan skin test. Results revealed that immune system is very sensitive around calving in respect to both tests, with a significant increase of pro-inflammatory cytokines and a reduction of the skin thickness after carrageenan challenge. Thus, both tests are able to describe the complex changes of the immune system combined to conventional metabolic and immune parameters. In Chapter IV, changes of leukocyte gene expression were evaluated from 20 days before to 7 days after calving using RNA-seq technique. Comparing the differentially expressed genes with the results of Chapter II and III were disclosed fundamental functional changes in leukocytes. Overall, these researches contribute to define better the physiology of the most vulnerable phase of dairy cows.

The recent advent of High-Throughput Sequencing (HTS) methods has triggered a revolution in gene regulation studies. Demand has never been higher to process the immense amount of emerging data to gain insight into the regulatory mechanisms of the cell. We address this issue by describing methods to analyze, integrate and interpret HTS data from different sources. In particular, we developed and benchmarked Pyicos, a powerful toolkit that offers flexibility, versatility and efficient memory usage. We applied it to data from ChIP-Seq on progesterone receptor in breast cancer cells to gain insight into regulatory mechanisms of hormones. Moreover, we embedded Pyicos into a pipeline to integrate HTS data from different sources. In order to do so, we used data sets from ENCODE to systematically calculate signal changes between two cell lines. We thus created a model that accurately predicts the regulatory outcome of gene expression, based on epigenetic changes in a gene locus. Finally, we provide the processed data in a Biomart database to the scientific community. / La llegada reciente de nuevos métodos de High-Throughput Sequencing (HTS) ha provocado una revolución en el estudio de la regulación génica. La necesidad de procesar la inmensa cantidad de datos generados, con el objectivo de estudiar los mecanismos regulatorios en la celula, nunca ha sido mayor. En esta tesis abordamos este tema presentando métodos para analizar, integrar e interpretar datos HTS de diferentes fuentes. En particular, hemos desarollado Pyicos, un potente conjunto de herramientas que ofrece flexibilidad, versatilidad y un uso eficiente de la memoria. Lo hemos aplicado a datos de ChIP-Seq del receptor de progesterona en células de cáncer de mama con el fin de investigar los mecanismos de la regulación por hormonas. Además, hemos incorporado Pyicos en una pipeline para integrar los datos HTS de diferentes fuentes. Hemos usado los conjuntos de datos de ENCODE para calcular de forma sistemática los cambios de señal entre dos líneas celulares. De esta manera hemos logrado crear un modelo que predice con bastante precisión los cambios de la expresión génica, basándose en los cambios epigenéticos en el locus de un gen. Por último, hemos puesto los datos procesados a disposición de la comunidad científica en una base de datos Biomart.