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<p>Bacterial small RNAs have emerged as a class of molecules having important regulatory roles. Accumulating numbers of <em>cis</em>-encoded sRNAs (antisense RNAs) have been recently discovered to be transcribed from the chromosomal DNA of many bacterial species, including the streptomycetes. Here, we investigate potential regulatory roles for two <em>S. coelicolor</em> antisense RNAs, scr4677 and α-abeA.</p> <p>The scr4677 antisense RNA is transcribed from the intergenic region between <em>SCO4676</em> (a gene encoding a conserved protein of unknown function) and <em>SCO4677</em>, encoding a regulatory protein with proposed anti-sigma factor activity. Transcription profiling revealed that scr4677 may not only interact with <em>SCO4676</em> mRNA but also with <em>SCO4677-4676</em> read-through transcripts. Our study suggested that scr4677 functioned to destabilize <em>SCO4676</em> mRNA, at the same time that it stabilized the <em>SCO4677-4676</em> read-through transcript. The potential role for scr4677 in destabilizing <em>SCO4676</em> mRNA was not mediated by the double stranded ribonuclease RNase III. Genetic analysis showed <em>scr4677</em> transcription was affected by SCO4677, and the transcription was apparently dependent on an unknown protein binding to the <em>SCO4676 </em>coding sequence.</p> <p>A second independent study focused on investigating the regulation of a previously uncharacterized genetic region, <em>SCO3287-3290</em>, since renamed <em>abeABCD</em>. This region contains an antisense RNA (α-abeA)-encoding gene, and is adjacent to the downstream <em>SCO3291</em> (<em>abeR</em>) gene, which encodes a putative regulatory protein. Genetic analysis revealed that overexpression of <em>abeR </em>or <em>abeABCD</em> stimulated the production of the blue-pigmented antibiotic actinorhodin, and deletion of <em>abeR</em> impaired actinorhodin production. Transcription analysis revealed the <em>abe</em> genes (including α-<em>abeA</em>) to be subject to multiple levels of regulation. We found an internal promoter within the <em>abeA</em> coding sequence and that required AbeR for expression. Furthermore, biochemical experiments demonstrated that AbeR regulated <em>abeBCD</em> directly, by binding to four heptameric repeats in its promoter region. The expression of α-<em>abeA</em> and other <em>abe</em> genes were differentially affected by RNase III.</p> / Doctor of Science (PhD)

Escherichia coli survives in both nutrient rich nutrient-limited environments. As such, understanding the gene and protein level activity that occurs during stationary phase is considered an important aspect of bacterial survival. Escherichia coli has been studied for decades providing substantial insight into gene expression profiles in exponential phase and recently, during adaptation to stationary phase. This led to the discovery of RpoS as a growth phase-dependent sigma factor. Further studies indicated that there are many genes that are expressed in an RpoS-independent but stationary phase-specific manner. However, proteins represent the functional molecules of the cell. Additionally, protein expression does not always correlate with the corresponding gene expression patterns. Therefore, to obtain an in depth understanding of the proteins that play a role in long-term growth in E. coli, TMT- (Tandem Mass Tags) based quantitative proteomic analysis was performed to identify proteins that are preferentially expressed during prolonged starvation. We identified proteins that were both positively and negatively regulated by RpoS during stationary phase, such as GadA and TnaA, respectively. RpoS levels peaked during early stationary phase and declined thereafter. However, proteins that were RpoS-dependent continued to increase during prolonged stationary phase. Additionally, we identified proteins that were expressed in an RpoS-independent manner during stationary phase. This suggests that protein expression during early stationary phase is distinct from prolonged stationary phase. Furthermore, RpoS-independent proteins may also play an important role during long-term growth. / Thesis / Master of Science (MSc) / Escherichia coli adapts to shifts in nutrient availability using the alternative sigma factor RpoS which controls morphological and physiological changes. Although gene expression during growth has been extensively studied, comparable information regarding changes in protein abundance during prolonged incubation is not available. We employed a quantitative proteomics approach to identify proteins that are preferentially expressed during stationary phase in E. coli. We identified classes of proteins that are upregulated and downregulated by RpoS in addition to proteins regulated independently of RpoS. Global analysis of protein expression during growth can aid in understanding the adaptation of E. coli under starvation conditions.

La transcriptómica estudia el nivel de expresión de los genes en distintas condiciones experimentales para tratar de identificar los genes asociados a un fenotipo dado así como las relaciones de regulación entre distintos genes. Los datos ómicos se caracterizan por contener información de miles de variables en una muestra con pocas observaciones. Las tecnologías de alto rendimiento más comunes para medir el nivel de expresión de miles de genes simultáneamente son los microarrays y, más recientemente, la secuenciación de RNA (RNA-seq). Este trabajo de tesis versará sobre la evaluación, adaptación y desarrollo de modelos estadísticos para el análisis de datos de expresión génica, tanto si ha sido estimada mediante microarrays o bien con RNA-seq. El estudio se abordará con herramientas univariantes y multivariantes, así como con métodos tanto univariantes como multivariantes. / Tarazona Campos, S. (2014). Statistical methods for transcriptomics: From microarrays to RNA-seq [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/48485 / Premios Extraordinarios de tesis doctorales

Bacterial persistence is considered as one of the primary reason for antibiotic tolerance besides genetically acquired antibiotic resistance. Persisters are the subpopulation of a clonal bacterial population, which can survive environmental extremes and become invulnerable to stresses due to limited metabolic activities and physiological functions. Cognate toxin and antitoxin (TA) pairs, which are transcribed simultaneously from the same or different operons within the bacterial chromosomes or plasmids, play an important role for bacterial survival during stressful growth environments. Pseudomonas aeruginosa PAO1 is one of the most versatile microorganisms in the environment. Despite its ubiquitous presence, no studies have shown the differential expression pattern of its toxin-antitoxins, and persistence related genes. The purpose of the following study is to analyze differential expression of P. aeruginosa PAO1 type II toxin-antitoxins and persistence related genes under different growth conditions and to show how their stoichiometric ratio changes during different growth conditions. Differential expression analysis indicated that the toxins and antitoxin pairs behave differently under different growth conditions. In addition, the genes related to persistence presented relatively consistent differential expression pattern under different growth environment. / Master of Science / Bacterial persistence is one of the main reason for antibiotic tolerance and recurrent infections. Toxin-antitoxin molecules play an important role during bacterial persistence. Change in the expression of toxin, antitoxins, and persistence related genes and the ratio of the toxin to antitoxin mRNA molecules are important for bacterial survival in stressful environments. Pseudomonas aeruginosa PAO1 is one of most ubiquitous bacteria and responsible for recurrent infection in patients with weaker and compromised immunity. This mRNA sequence (RNA-Seq) analysis study of P. aeruginosa PAO1 showed different expression levels of toxin, antitoxin, and persistence related genes in various stressful growth conditions. This expression also showed the different ratios of the toxin to antitoxin mRNA molecules under different stress conditions. These implicate the different hypothetical roles of these toxin and antitoxin molecules in different growth conditions.

La technologie des microarrays demeure à ce jour un outil important pour la mesure de l'expression génique. Au-delà de la technologie elle-même, l'analyse des données provenant des microarrays constitue un problème statistique complexe, ce qui explique la myriade de méthodes proposées pour le pré-traitement et en particulier, l'analyse de l'expression différentielle. Toutefois, l'absence de données de calibration ou de méthodologie de comparaison appropriée a empêché l'émergence d'un consensus quant aux méthodes d'analyse optimales. En conséquence, la décision de l'analyste de choisir telle méthode plutôt qu'une autre se fera la plupart du temps de façon subjective, en se basant par exemple sur la facilité d'utilisation, l'accès au logiciel ou la popularité. Ce mémoire présente une approche nouvelle au problème de la comparaison des méthodes d'analyse de l'expression différentielle. Plus de 800 pipelines d'analyse sont appliqués à plus d'une centaine d'expériences sur deux plateformes Affymetrix différentes. La performance de chacun des pipelines est évaluée en calculant le niveau moyen de co-régulation par l'entremise de scores d'enrichissements pour différentes collections de signatures moléculaires. L'approche comparative proposée repose donc sur un ensemble varié de données biologiques pertinentes, ne confond pas la reproductibilité avec l'exactitude et peut facilement être appliquée à de nouvelles méthodes. Parmi les méthodes testées, la supériorité de la sommarisation FARMS et de la statistique de l'expression différentielle TREAT est sans équivoque. De plus, les résultats obtenus quant à la statistique d'expression différentielle corroborent les conclusions d'autres études récentes à propos de l'importance de prendre en compte la grandeur du changement en plus de sa significativité statistique. / Microarrays remain an important tool for the measurement of gene expression, and a myriad of methods for their pre-processing or statistical testing of differential expression has been proposed in the past. However, insufficient and sometimes contradictory evidence has prevented the emergence of a strong consensus over a preferred methodology. This leaves microarray practitioners to somewhat arbitrarily decide which method should be used to analyze their data. Here we present a novel approach to the problem of comparing methods for the identification of differentially expressed genes. Over eight hundred analytic pipelines were applied to more than a hundred independent microarray experiments. The accuracy of each analytic pipeline was assessed by measuring the average level of co-regulation uncovered across all data sets. This analysis thus relies on a varied set of biologically relevant data, does not confound reproducibility for accuracy and can easily be extended to future analytic pipelines. This procedure identified FARMS summarization and the TREAT gene ordering statistic as algorithms significantly more accurate than other alternatives. Most interestingly, our results corroborate recent findings about the importance of taking the magnitude of change into account along with an assessment of statistical significance.

Estudos recentes demonstraram que a variação de expressão alelo-específica é mais comum do que se imaginou, podendo chegar, em humanos, a 50% dos genes. Identificar os genes submetidos ao controle de expressão alelo-específica é muito importante para o entendimento de várias doenças, incluindo o câncer. A identificação dos alvos desse tipo de regulação diferencial é difícil, principalmente devido à dificuldade de se avaliar a expressão de cada alelo individualmente. Neste trabalho, abordamos este problema com uma estratégia de análise in-silico, fundamentada na integração de dados públicos do genoma humano, dados de expressão (como cDNAs, SAGE e MPSS) e dados sobre polimorfismos (SNPs). Desenvolvemos um banco de dados de polimorfismos de base única (Single-Nucleotide Polymorphism - SNPs) associados a etiquetas alternativas de SAGE (Serial Analysis of Gene Expression) e MPSS (massively parallel signature sequencing). SAGE e MPSS são técnicas desenvolvidas para análise da expressão de genes em larga escala. Ambas as técnicas têm como princípio a produção de pequenas seqüências marcadoras (etiquetas), adjacentes aos sítios de enzimas de restrição que estiverem mais próximo da cauda poli-A do RNA mensageiro. Tais etiquetas são seqüenciadas em grande escala e a quantidade de etiquetas é usada para medir a abundância relativa dos RNAs mensageiros correspondentes. A presença de SNPs nos sítios de restrição ou nas seqüências das etiquetas pode gerar etiquetas distintas para alelos do mesmo gene, que denominamos etiquetas alternativas. Neste trabalho, empregamos o banco de dados de etiquetas alternativas associadas a SNPs para identificar genes com expressão alélica diferencial. Usando esta estratégia, identificamos 812 genes com expressão monoalélica, Estudos anteriores comprovaram que, dentre os 812 genes identificados, cinco estão sujeitos ao fenômeno de imprinting genômico. Durante o decorrer deste estudo, trabalhos realizados por outros grupos apontaram outros 73 genes do nosso repertório como genes que apresentam variação no nível de expressão dos alelos em heterozigotos. Com objetivo de confirmar a expressão alélica diferencial dos nossos candidatos, selecionamos 29 genes para validação experimental. Para 12 destes genes não achamos indivíduos heterozigotos, impossibilitando a análise da expressão dos alelos. Dentre os outros 17 genes, três apresentaram expressão bialélica e 14 apresentaram expressão alélica diferencial nos indivíduos heterozigotos, sendo que 3 deles apresentaram expressão monoalélica. Estes resultados sugerem que nossa estratégia pode contribuir significativamente na identificação de genes com expressão alélica diferencial. / Recent studies have shown that variation of allelic-specific gene expression is more common than previously thought, reaching up to 50% of human genes. To identify genes displaying differential expression among alleles it is important for the understanding of several diseases, including the cancer. Identification of genes submitted to allelic-specific differential expression is hard, mostly due to the difficulty in evaluating the expression levels of each allele independently. In this work, we developed an in-silico approach, based on the integration of public data about the human genome, gene expression data (such as cDNAs, SNPs, SAGE and MPSS) and data on polymorphisms (SNPs). We developed a database of Single Nucleotide Polymorphisms (SNPs) associated to alternative SAGE (Serial Analysis of Gene Expression) and MPSS (Massively Parallel Signature Sequencing) tags. SAGE and MPSS are genome-wide techniques developed for analysis of gene expression. Both techniques rely on the production of short marker sequences (known as tags), adjacent to restriction sites closer to the poly-A tail of messenger RNAs. Such tags are sequenced in a large scale and tag counts are used to measure the relative abundance of their corresponding transcripts. The presence of SNPs in the restriction sites or in the tag sequences might generate allelic-specific tags for the same gene, which we call alternative tags. In this work, we used the database of SNPs and associated alternative tags to identify genes submitted to allelic-specific differential gene expression. Using this approach, we identified 812 genes showing allelic-specific differential gene expression. Previous studies have shown that, among the 812 candidates, five genes are targets for genomic imprinting. While this study was being performed, work done by other groups suggested other 73 genes in our candidates list to have different expression levels for alleles in heterozygous. Aiming to verify whether variations in the expression levels of alleles existed among our candidate genes, we submitted 29 genes for experimental validation. For 12 genes, we couldnt find heterozygous individuals, thus rendering it impossible to ascertain whether the supposed expression variation was true. Among the other 17 genes analyzed, three genes presented bi-allelic expression and 14 genes have shown clear differential expression among alleles, three of the last ones displaying strict mono-allelic expression. These results suggest that our approach may contribute significantly to the identification of genes with allelic-specific differential expression.

O presente trabalho teve por objetivo compreender e analisar os mecanismos genéticos e epigenéticos da expressão diferencial de regiões organizadoras do nucléolo - RONs através do estudo de dois acessos (CRT-1 e CRT-2) de Crotalaria retusa. O acesso CRT-1 é uma cultivar, enquanto que o acesso CRT-2 é proveniente de uma população periférica da orla marítima de Ilhéus BA. Por serem temporalmente e espacialmente separados, acredita-se que os acessos foram submetidos a pressões seletivas diferentes, resultando em alterações dos padrões epigenéticos, principalmente nas RONs. Para o desenvolvimento deste trabalho foram realizadas medidas cromossômicas e nucleolares a partir de células coradas pelo método de Feulgen e por nitrato de prata, coloração com fluorocromos específicos às regiões cromossômicas ricas em nucleotídeos GC e AT, mapeamento físico dos locos de DNA ribossômico 45S por hibridação in situ fluorescente, análise qualitativa e quantitativa de modificações pós-traducionais de histonas por Western blot e eletroforese bidimensional de extrato protéico radicular com enfoque em proteínas envolvidas nos mecanismos epigenéticos. As análises citológicas demonstraram uma grande semelhança nos cariótipos dos dois acessos, diferindo apenas no tamanho do segmento proximal do braço curto do cromossomo 1. Em ambos os acessos foi observada uma expressão nucleolar diferencial em, aproximadamente, 50% das células; contudo, a expressão diferencial em CRT-2 apresentou-se consideravelmente maior. Além disso, os dois acessos demonstraram diferenças quantitativas nas modificações pós-traducionais de histonas e em proteínas possivelmente envolvidas em mecanismos epigenéticos. Uma vez que as variações epigenéticas podem ser modificadas por fatores ambientais, sugere-se que as diferenças nos padrões de modificações de histonas e nos perfis protéicos encontradas entre os acessos, como também a expressão diferencial mais expressiva em CRT-2, sejam devidas às diferentes pressões seletivas as quais as populações originais foram submetidas. O estudo dos mecanismos genéticos e epigenéticos na dominância nucleolar possibilita uma maior compreensão da ação do remodelamento da cromatina no controle da expressão gênica do rDNA, como também da expressão gênica em geral. / The aim of this present work was to understand and analyze the genetic and epigenetic mechanisms of differential expression of the nucleolus organizer regions - NORs through the study of two accesses (CRT-1 and CRT-2) of Crotalaria retusa. Access CRT-1 is a cultivar, while access CRT-2 is from a peripheral population of the shoreline of Ilhéus BA. Because they are temporally and spatially separated, it is believed that the accesses were submitted to different selective pressures, resulting in changes in epigenetic patterns, primarily in NORs. To develop this work, it was carried out chromosomal and nucleolar measurements from cell stained by Feulgen method and silver nitrate, staining with specific fluorochromes to chromosomal regions rich in GC and AT nucleotides, physical mapping of 45S ribosomal DNA loci by fluorescent in situ hybridization, qualitative and quantitative analysis of post-translational histone modifications by western blot, and two-dimensional electrophoresis of root extract protein focusing on proteins involved in epigenetic mechanisms. The cytological analysis showed a great similarity in karyotypes of two accessions, differing only in size of the proximal segment of the sort arm of chromosome 1. In both accesses, it was observed a differential nucleolar expression in approximately 50% of the cells; however, the differential expression in CRT-2 showed considerably larger. Furthermore, the two accesses showed quantitative differences in the posttranslational histone modifications, and in a protein possibly involved in epigenetic mechanisms. Since epigenetic variations can be modified by environmental factors, it is suggested that differences in patterns of histone modifications and protein profiles found between the accesses, but also the most significant differential expression in CRT-2, are due to different selective pressures to which the original populations were submitted. Studies of the epigenetic mechanisms in nucleolar dominance allows a better understanding of the action of the remodeling of chromatin in controlling the dosage of rRNA genes, but also in the control of gene expression in general.

A esquistossomose é uma doença tropical negligenciada que atinge cerca de 200 milhões de pessoas em todo o mundo, abrangindo a América, a África, as Antilhas, o Oriente Médio e Próximo, além do Sudeste Asiático. A espécie encontrada no Brasil é a Schistosoma mansoni, onde se tem como tratamento típico a administração do Praziquantel ou da Oxamniquina. No entanto, sua característica de infecção se associa a saneamento básico precário e baixos padrões sócio-econômicos, de maneira que a reinfecção de doentes apresenta altas taxas de ocorrência, o que motiva a busca por fármacos ou vacinas antihelmíticas que superem esta dificuldade. Neste trabalho são utilizadas técnicas proteômicas para a identificação de proteínas que estejam potencialmente envolvidas na diferenciação entre os sexos, na interação entre parasitas de diferentes sexos ou com o hospedeiro. São estudadas preparações de amostras de sincício e vermes inteiros adultos machos e fêmeas por eletroforese bidimensional e frações de baixo peso molecular de sincício de vermes adultos machos e fêmeas por gel-LC. A expressão diferencial de proteínas de sincício investigada por gel-LC foi avaliada por análise estatítica, sendo detectadas 5 proteínas mais abundantes em machos e 2 em fêmeas, além de 6 proteínas identificadas somente em machos e 21 somente em fêmeas. Estas informações de expressão diferencial possibilitam a investigação dos recursos de sobrevivência e reprodução desenvolvidos evolutivamente por estes parasitas. / Schistosomiasis is a neglected tropical disease that affects approximately 200 million people around the world, occurring in America, Africa, the Antilles, Middle East and Near East, besides Southeast Asia. The species found in Brazil is Schistosoma mansoni, the typical treatment being administration of either Praziquantel or Oxamniquine. Although, the infection characteristics of this disease is associated with poor sanitation and hardened socio-economic conditions, resulting in high reinfection rates, which motivates the search for antihelmintic drugs and vaccines that overcome this situation. In this study proteomics techniques are used in the search of proteins potencially involved in the differentiation of individuals of both sexes, in the interactions between them and between the worms and the host. Samples of worm syncytium and adult whole worms of both male and female are studied by two-dimentional electrophoresis, while low molecular weight syncytium proteins from male and female adult worms were investigated by gel-LC. The differential protein expression in the syncytium investigated by gel-LC was analyzed statistically, being detected 5 proteins most abundant in males, and 2 in females, while 6 were identified solely on males and 21 on females. The information concerning protein differential expression allows the investigation of survival strategies developed evolutionarily by these parasites.

<p>&nbsp / </p> <p align="left">The domesticated apple (<i><font face="TimesNewRomanPS-ItalicMT">Malus </font><font face="TimesNewRomanPSMT">x </font><i><font face="TimesNewRomanPS-ItalicMT">domestica </font><font face="TimesNewRomanPSMT">Borkh.), belonging to the </font><i><font face="TimesNewRomanPS-ItalicMT">Malus </font><font face="TimesNewRomanPSMT">genus of the Rosaceae family, is one of the edible pomaceous fruits. Since it is one of the important commercial fruit crops worldwide, the quality of the fruit is crucial to breeders and farmers as it ultimately determines acceptance of a cultivar for consumption. Fruit quality is also a critical determinant factor that is used to estimate the potential of apples to have a long shelf life. The introduction of marker-assisted selection (MAS) has allowed hastening of traditional breeding and selection of high-quality apple cultivars. The availability of genetic linkage maps, constructed by positioning molecular markers throughout the apple genome, enables the detection and analysis of major genes and quantitative trait loci (QTLs) contributing to the quality traits of a given genotype.&nbsp / herefore, the primary aim of this study was to construct a genetic linkage map of the &lsquo / Golden Delicious&rsquo / x &lsquo / Dietrich&rsquo / population for the identification of QTLs associated with fruit quality traits and then to examine the apple fruit pulp proteome with a specific focus on fruit firmness. In this regard, genomic DNA was extracted from leaves of the &lsquo / Golden Delicious&rsquo / x Dietrich&rsquo / population and used in megaplex PCR reactions. The PCR products were analysed prior to scoring of alleles. Polymorphic markers were then used to construct genetic linkage maps. The genetic linkage maps constructed in this study comprise of 167 simple sequence repeats (SSR) markers, 33 of these were newly developed markers. The 17 linkage groups of apple were constructed and aligned to existing apple genetic maps. The maps span 1,437.8 cM and 1,491.5 cM for &lsquo / Golden Delicious&rsquo / and &lsquo / Dietrich&rsquo / , respectively.</font></i></i></i></p>