DNA damage is a constant threat to our genomes which drives genome instability and contributes to cancer progression. DNA damage interferes with important DNA transactions such as transcription and replication. DNA lesions are removed by repair pathways that ensure genome stability during transcription and replication. Here, we identify and characterize distinct roles for the ultra violet stimulated scaffold protein A (UVSSA) in the maintenance of genome stability during transcription in human cells. First, we unravel a novel function for UVSSA in transcription-coupled repair of DNA interstrand crosslinks (ICLs), genotoxic adducts that covalently bind opposing strands of the DNA and block transcription and replication. UVSSA knockout cells are sensitive to ICL inducing drugs, and UVSSA is specifically required for transcription-coupled repair of ICLs in a fluorescence-based reporter assay. Based on analysis of the UVSSA protein interactome in crosslinker treated cells we propose a model for transcription-coupled ICL repair (TC-ICR) that is initiated by stalling of transcribing RNA polymerase II (Pol II) at an ICL. Stalled Pol II is first bound by CSA and CSB, followed by UVSSA which recruits TFIIH to initiate downstream lesion removal steps. Second, we establish that UVSSA counteracts MYC dependent transcription stress to promote genome stability in cells aberrantly expressing the cMYC oncogene. UVSSA knockdown sensitizes cells to MYC expression, resulting in synthetic sickness and increased doubling time. UVSSA knockdown impacts Pol II dynamics in MYC activated cells. We conclude that UVSSA is required for regulation of Pol II during MYC induced transcription to prevent transcription stress. Together, these studies expand our understanding of UVSSA’s role in genome stability during transcription and elucidates the poorly understood transcription-coupled ICL repair pathway.

Isolating novel phages using Streptomyces azureus, which produces antibiotic thiostrepton, as a host, and characterizing the genomes may help us to find new tools that could be used to develop antibiotics in addition to contribute to the databases of phages and specifically, Streptomyces phages. Streptomyces phages Alsaber, Omar, Attoomi, Rowa, and ZamZam were isolated using during this study. They were isolated from enriched soil and sequenced by Illumina sequencing method. They were isolated from three different geographical regions. They are siphoviridae phages that create small clear plaques with a diameter of approximately 0.5-1 mm, except for Rowa which has cloudy plaques, and they have varied sizes of their heads and tails. ZamZam was not characterized at this time. The sequencing shows that they are circular genome with 3' sticky overhang and various genomes' sizes with high percentage of GC content with the average of 66%. Alsaber was classified under sub-cluster BD3, while Omar was categorized under sub-cluster BD2. They share the same cluster of Cluster BD. Rowa was placed in Cluster BL and Attoomi is currently a singleton that does not fit into an established cluster. Alsaber yields 76 putative genes with no tRNA, Omar 81 putative genes with 1 tRNA. Attoomi 53 putative genes with no tRNA, and Rowa with 61 orfs and 7 tRNA. Rowa also was a putative temperate phage due to its lysogenic activity, and Row was not able to reinfect the lysogenic strain, S. azureus (Rowa). All of the isolated phages infected S. indigocolor, while only Attoomi and Rowa were able to infect S. tricolor. Upon completion of this project, we acquired more data and understanding of S. azureus phages and Actinobacteriophage in general, which will expand the scale of future research of Streptomyces bacteriophages.

Genomic instability is a hallmark of cancer that can be caused by various forms of DNA replication stress. Collision of the replication fork with obstacles ahead of the replication machinery can result in replication fork stalling and collapse. To overcome or bypass these obstacles and resume proper replication fork progression, the cell has various replication restart mechanisms involving homologous recombination (HR) that help preserve genome integrity and ensure cell survival. However, HR can also lead to genome rearrangements, particularly when recombination occurs between repetitive DNA sequences. The tandem duplicator phenotype found in breast and ovarian cancer is an example of a genome-wide instability configuration that has been associated with pathways related to homologous recombination and replication stress, but the exact mechanism of how these duplicated sequences are formed is not fully understood. To examine the molecular mechanisms regulating genome instability in response to replication stress, we have established a genetic system in Saccharomyces cerevisiae to detect recombination events that result in tandem duplications (TDs) and deletions. Using this system, we investigated the mechanisms of recombination upon site-specific replication fork stalling initiated by a protein-induced replication fork barrier. We have found that a Tus/Ter-induced fork block downstream of direct repeats results in an induction in recombination events resulting in TDs and deletions compared to spontaneous frequencies, and that these recombination events have specific genetic requirements. Mainly focusing on the recombination mechanisms generating Tus/Ter-induced TDs, we determined that formation of these TDs is dependent on Rad52, Rad51, the Mph1 translocase, and structure-selective endonucleases, and that these events appear to be enhanced by disruption of the MRX complex and sister chromatid cohesion. We also found that genetic requirements for recombination in response to fork stalling by a protein-DNA barrier are distinct from those involved in fork collapse at a nick. Taken together, these studies give insight into the mechanisms governing copy number variation in the context of replication fork stalling, which may ultimately provide a better understanding of how replication stress contributes to cancer and other diseases characterized by genome instability.

Next-generation sequencing has generated enormous amount of DNA and RNA sequences that potentially carry volumes of genetic information, e.g. protein-coding genes. The thesis is divided into three main parts describing i) GeneMarkS-2, ii) GeneMarkS-T, and iii) MetaGeneTack. In prokaryotic genomes, ab initio gene finders can predict genes with high accuracy. However, the error rate is not negligible and largely species-specific. Most errors in gene prediction are made in genes located in genomic regions with atypical GC composition, e.g. genes in pathogenicity islands. We describe a new algorithm GeneMarkS-2 that uses local GC-specific heuristic models for scoring individual ORFs in the first step of analysis. Predicted atypical genes are retained and serve as ‘external’ evidence in subsequent runs of self-training. GeneMarkS-2 also controls the quality of training process by effectively selecting optimal orders of the Markov chain models as well as duration parameters in the hidden semi-Markov model. GeneMarkS-2 has shown significantly improved accuracy compared with other state-of-the-art gene prediction tools. Massive parallel sequencing of RNA transcripts by the next generation technology (RNA-Seq) provides large amount of RNA reads that can be assembled to full transcriptome. We have developed a new tool, GeneMarkS-T, for ab initio identification of protein-coding regions in RNA transcripts. Unsupervised estimation of parameters of the algorithm makes unnecessary several steps in the conventional gene prediction protocols, most importantly the manually curated preparation of training sets. We have demonstrated that the GeneMarkS-T self-training is robust with respect to the presence of errors in assembled transcripts and the accuracy of GeneMarkS-T in identifying protein-coding regions and, particularly, in predicting gene starts compares favorably to other existing methods. Frameshift prediction (FS) is important for analysis and biological interpretation of metagenomic sequences. Reads in metagenomic samples are prone to sequencing errors. Insertion and deletion errors that change the coding frame impair the accurate identification of protein coding genes. Accurate frameshift prediction requires sufficient amount of data to estimate parameters of species-specific statistical models of protein-coding and non-coding regions. However, this data is not available; all we have is metagenomic sequences of unknown origin. The challenge of ab initio FS detection is, therefore, twofold: (i) to find a way to infer necessary model parameters and (ii) to identify positions of frameshifts (if any). We describe a new tool, MetaGeneTack, which uses a heuristic method to estimate parameters of sequence models used in the FS detection algorithm. It was shown on several test sets that the performance of MetaGeneTack FS detection is comparable or better than the one of earlier developed program FragGeneScan.

Considerable variation exists both within and between species in nuclear DNA content. Despite there being no obvious functional role for much of this DNA, many studies have reported phenotypic correlations with genome size at various taxonomic levels. This suggests that DNA plays a functional role beyond the traditionally understood mechanisms. One such example of a phenotypic correlation with DNA content is present in the genus Silene, where a negative correlation between DNA content and flower size exists within and between species. This relationship is consistent with the direction of sexual dimorphism in DNA content (caused by heteromorphic sex-chromosomes) and flower size in the most studied species in the genus: S. latifolia. This thesis takes a comparative approach between two closely related species in the genus (S. latifolia and S. marizii), which differ markedly in their nuclear DNA content, in order to investigate the nature and phenotypic impacts of variation in DNA content. A phenotypic survey from a number of S. marizii populations reveals that the pattern of DNA content variation in this species is very different to that in S. latifolia. In particular, phenotypic correlations with DNA content appear be much weaker, whilst sexual dimorphism in DNA content, when present, appears to occur in either direction. A survey of interspecific hybrids suggests that this may be due to an enlarged S. marizii X-chromosome and that DNA content in hybrids may be biased with regard to their parents. Repetitive elements may be significant constituents of plant genomes. A study of Ty1-copia class retrotransposons in the two species reveals that they are present as a large and highly heterogeneous population. Phylogenetic analysis of these elements suggests a substantial degree of genetic isolation between the two species. Finally, an assessment of the flow-cytometric method, used to estimate DNA content, reveals substantial error associated with the method, but only limited evidence for stoichiometric effects.

Significant alterations in the environmental conditions can have pronounced effects on plant genome stability. Recent evidence argues for a global involvement of the components of epigenetic modules in the regulation of genome homeostasis both immediately after stress exposure and long after environmental cues were acquired. The last observation is of particular interest as the memory of imposing stress can be maintained at the molecular level throughout plant ontogenesis and may be faithfully propagated into the following generation. Our study provides evidence that epigenetic repercussions exerted by stress exposure of parental plants manifest themselves in untreated progeny at all three levels of the epigenetic module: DNA methylation, histone posttranslational modifications and small RNA metabolism. Additionally, the results of our study shed new light on the engagement of the epigenetic machinery in the maintenance of plant genome integrity by counteracting the activity of invading nucleic acids. / xv, 280 leaves : ill. ; 29 cm

L’inférence de génomes ancestraux est une étape essentielle pour l’étude de l’évolution des génomes. Connaissant les génomes d’espèces éteintes, on peut proposer des mécanismes biologiques expliquant les divergences entre les génomes des espèces modernes. Diverses méthodes visant à résoudre ce problème existent, se classant parmis deux grandes catégories : les méthodes de distance et les méthodes de synténie. L’état de l’art des distances génomiques ne permettant qu’un certain répertoire de réarrangements pour le moment, les méthodes de synténie sont donc plus appropriées en pratique. Nous proposons une méthode de synténie pour la reconstruction de génomes ancestraux basée sur une définition relaxée d’adjacences de gènes, permettant un contenu en gène inégal dans les génomes modernes causé par des pertes de gènes de même que des duplications de génomes entiers (DGE). Des simulations sont effectuées, démontrant une capacité de former une solution assemblée en un nombre réduit de régions ancestrales contigües par rapport à d’autres méthodes tout en gardant une bonne fiabilité. Des applications sur des données de levures et de plantes céréalières montrent des résultats en accord avec d’autres publications, notamment la présence de fusion imbriquée de chromosomes pendant l’évolution des céréales. / Ancestral genome inference is a decisive step for studying genome evolution. Knowing genomes from extinct species, one can propose biological mecanisms explaining divergences between extant species genomes. Various methods classified in two categories have been developped : distance based methods and synteny based methods. The state of the art of distance based methods only permit a certain repertoire of genomic rearrangements, thus synteny based methods are more appropriate in practice for the time being. We propose a synteny method for ancestral genome reconstruction based on a relaxed defenition of gene adjacencies, permitting unequal gene content in extant genomes caused by gene losses and whole genome duplications (WGD). Simulations results demonstrate our method’s ability to form a more assembled solution rather than a collection of contiguous ancestral regions (CAR) with respect to other methods, while maintaining a good reliability. Applications on data sets from yeasts and cereal species show results agreeing with other publications, notably the existence of nested chromosome fusion during the evolution of cereals.

Les éléments transposables (ETs) sont des éléments génétiques mobiles capables de se déplacer et de se multiplier au sein d’un génome. Identifiés dans la plupart des espèces vivantes incluant les bactéries, mais longtemps considérés comme de l’ADN poubelle, aujourd’hui les ETs sont indéniablement des acteurs majeurs impliqués dans l’évolution des gènes, des génomes et des organismes. Si à l’échelle des individus les ETs peuvent avoir des effets délétères pouvant entrainer des maladies, à plus grande échelle ils sont de puissants agents évolutifs impliqués dans la plasticité génomique. Ces « parasites » peuvent également être sources de nouveaux matériels génétiques comme des promoteurs ou même de nouveaux gènes avec de nouvelles fonctions pour l’hôte. Les objectifs majeurs de mon travail de thèse ont été de déterminer les différentes familles d’ETs présentes dans les génomes de poissons, la part que chacune d’entre elles occupe dans ces génomes et enfin de comprendre l’histoire évolutive des familles d’ETs dans les génomes de poissons en comparaison avec les autres génomes de vertébrés. Cette comparaison à grande échelle permettra de comprendre les différentes stratégies évolutives des ETs. D’autre part, j’ai étudié deux gènes de vertébrés, Gin-1 et Gin-2 dérivés d’ETs, dans le but de comprendre leurs origines et évolution au sein des vertébrés ainsi que d’émettre des hypothèses quant à leur fonction moléculaire potentielle encore inconnue. Pour cela, des analyses in silico ont permis de mieux comprendre les origines de ces gènes. Gin-1, présent chez les amniotes, et Gin-2, absent uniquement des mammifères placentaires, dérivent tous deux de transposons GIN. / Transposable elements (TEs) are mobile genetic elements - able to move and to multiply within genomes - identified in almost all living organisms including bacteria. Considered as junk DNA for long, nowadays they are undeniably major players of gene, genome and host evolution. TEs can be deleterious causing diseases but these “parasites” can also be source of new genetic materials as promoters or even new genes bringing new functions for hosts. The objectives of my thesis was to determine the presence or not of the different TE families in vertebrate genomes, as well as their respective content to understand their evolutionary history. I performed a large-Scale comparative analysis to highlight the various evolutionary strategies of TEs. I showed that TE content is highly variable in vertebrate genomes, the smallest and the largest being found in fish, and may contribute to their genome sizes especially in fish. These superfamilies underwent differential waves of activity in vertebrate species highlighting TE dynamics. On another hand, I focused on the study of a vertebrate-Specific TE-Derived gene, named Gin-2, to understand its origin, evolution, and its potential function in vertebrates. In silico analyses showed that Gin-2 is a very ancient gene (500 My, only absent from placentals) derived from GIN transposons. Further analyses present a particular expression in brain and gonads during adulthood, while a strong expression during gastrulation suggests a potential role of Gin-2 in zebrafish development. All together, the different analyses contribute to a better view of TE evolution and their evolutionary impacts in vertebrate genomes.

RNAs não codificadores longos (lncRNAs) compõem uma fração significativa do transcriptoma. Alterações na expressão de lncRNAs já foram observadas em vários cânceres humanos, mas ainda não foram exploradas no adenocarcinoma pancreático ductal (PDAC), uma doença devastadora e agressiva para a qual faltam métodos para diagnóstico precoce e tratamentos efetivos. Utilizando uma plataforma de microarranjo de cDNA com sondas para 984 lncRNAs e 2371 mRNAs, o presente estudo identificou conjuntos de lncRNAs expressos em 38 amostras clínicas pancreáticas. O enriquecimento de (i) elementos regulatórios associados às regiões promotoras (H3K4me3); (ii) possíveis inícios de transcrição (CAGE-tags); (iii) presença de elementos conservados sugere que ao menos uma fração desses RNAs seja originada a partir de unidades transcricionais independentes, reguladas e possivelmente funcionais. Foram identificadas assinaturas de expressão gênica compostas por mRNA e lncRNAs associadas ao tumor primário e à metástase pancreática. A assinatura gIenica associada à metástase apresentou enriquecimento RNAs intrônicos de loci gênicos associados à via MAPK quinase. O aumento de expressão dos transcritos intrônicos dos loci PPP3CB, MAP3K14 e DAPK1 foi confirmado por qPCR em metástases. Em conjunto, este trabalho aponta para a importância de lncRNAs intrônicos no PDAC e para a necessidade de estudos mais aprofundados para uma melhor compreensão do papel dessa classe de transcritos na biologia da doença. / Long noncoding RNAs (lncRNAs) compose a significant fraction of transcriptome. Altered expression of lncRNAs has been observed in diverse human cancers, but has not being investigated in pancreatic ductal adenocarcinoma (PDAC), a devastating and aggressive disease that lack early diagnosis methods and effective treatments. Using a cDNA microarray platform with probes interrogating 984 lncRNAs and 2371 mRNA, the present study identified subsets of lncRNAs expressed in 38 pancreatic clinical samples. Enrichment of (i) regulatory elements associated to promoter region (H3K4me3); (ii) putative transcription start site (CAGEtags) and (iii) conserved elements, suggest that at least a fraction of these RNAs could be independent transcriptional unit, regulated, an possibly functional. Gene expression signatures comprised of mRNAs and lncRNAs and associated to primary or metastatic tumors were found. A gene signature associated to metastasis was enriched in intronic ncRNAs mapping to gene loci associated to the MAPK pathway. Over expression of intronic RNAs from PPP3CB, MAP3K14 and DAPK1 was confirmed by qPCR in metastatic samples. Taken together, this study points to the importance of intronic lncRNAs in PDAC and for the need to study this class of ncRNAs in greater detail to better understand its role in the biology of PDAC.

La théorie de l’évolution repose sur la biologie moderne. Toutes les nouvelles espèces émergent d’une espèce existante. Il en résulte que différentes espèces partagent une ascendance commune, telle que représentée dans la classification phylogénétique. L’ascendance commune peut expliquer les similitudes entre tous les organismes vivants, tels que la chimie générale, la structure cellulaire, l’ADN comme matériau génétique et le code génétique. Les individus d’une espèce partagent les mêmes gènes mais (d’ordinaire) différentes séquences d’allèles de ces gènes. Un individu hérite des allèles de leur ascendance ou de leurs parents. Le but des études phylogénétiques est d’analyser les changements qui se produisent dans différents organismes pendant l’évolution en identifiant les relations entre les séquences génomiques et en déterminant les séquences ancestrales et leurs descendants. Une étude de phylogénie peut également estimer le temps de divergence entre les groupes d’organismes qui partagent un ancêtre commun. Les arbres phylogénétiques sont utiles dans les domaines de la biologie, comme la bio informatique, pour une phylogénétique systématique et comparative. L’arbre évolutif ou l’arbre phylogénétique est une exposition ramifiée les relations évolutives entre divers organismes biologiques ou autre existence en fonction des différences et des similitudes dans leurs caractéristiques génétiques. Les arbres phylogénétiques sont construits à partir de données moléculaires comme les séquences d’ADN et les séquences de protéines. Dans un arbre phylogénétique, les nœuds représentent des séquences génomiques et s’appellent des unités taxonomiques. Chaque branche relie deux nœuds adjacents. Chaque séquence similaire sera un voisin sur les branches extérieures, et une branche interne commune les reliera à un ancêtre commun. Les branches internes sont appelées unités taxonomiques hypothétiques. Ainsi, les unités taxonomiques réunies dans l’arbre impliquent d’être descendues d’un ancêtre commun. Notre recherche réalisée dans cette dissertation met l’accent sur l’amélioration des prototypes évolutifs appropriés et des algorithmes robustes pour résoudre les problèmes d’inférence phylogénétiques et ancestrales sur l’ordre des gènes et les données ADN dans l’évolution du génome complet, ainsi que leurs applications.[...] / The theory of evolution is based on modern biology. All new species emerge of an existing species. As a result, different species share common ancestry,as represented in the phylogenetic classification. Common ancestry may explainthe similarities between all living organisms, such as general chemistry, cell structure,DNA as genetic material and genetic code. Individuals of one species share the same genes but (usually) different allele sequences of these genes. An individual inheritsalleles of their ancestry or their parents. The goal of phylogenetic studies is to analyzethe changes that occur in different organisms during evolution by identifying therelationships between genomic sequences and determining the ancestral sequences and theirdescendants. A phylogeny study can also estimate the time of divergence betweengroups of organisms that share a common ancestor. Phylogenetic trees are usefulin the fields of biology, such as bioinformatics, for systematic phylogeneticsand comparative. The evolutionary tree or the phylogenetic tree is a branched exposure the relationsevolutionary between various biological organisms or other existence depending on the differences andsimilarities in their genetic characteristics. Phylogenetic trees are built infrom molecular data such as DNA sequences and protein sequences. Ina phylogenetic tree, the nodes represent genomic sequences and are calledtaxonomic units. Each branch connects two adjacent nodes. Each similar sequencewill be a neighbor on the outer branches, and a common internal branch will link them to acommon ancestor. Internal branches are called hypothetical taxonomic units. Thus,Taxonomic units gathered in the tree involve being descended from a common ancestor. Ourresearch conducted in this dissertation focuses on improving evolutionary prototypesappropriate and robust algorithms to solve phylogenetic inference problems andancestral information about the order of genes and DNA data in the evolution of the complete genome, as well astheir applications.