A produção de aves no Brasil vem crescendo na ordem de 10% a cada ano, o que se explica pela atualização constante da tecnologia do setor (http://www.abef.com.br). Sendo a carne de frango a fonte de proteína animal mais barata e acessível ao consumidor, há necessidade de se produzir cada vez mais animais com maior acúmulo de massa muscular. Para isso, o entendimento dos mecanismos celulares e moleculares envolvidos na formação da musculatura esquelética é de extrema relevância. Os fatores miogênicos, genes responsáveis pela determinação e diferenciação de células musculares, foram clonados e progressos significativos foram desenvolvidos quanto ao controle da expressão dos mesmos. A utilização da técnica de seqüenciamento de DNA possibilita a identificação e caracterização de novos genes envolvidos na complexa rede de fatores que regulam a formação da musculatura esquelética em aves. Neste estudo, foram construídas duas bibliotecas de cDNA (fase embrionária e pós-eclosão) de músculo peitoral de uma linhagem de corte (TT) e uma biblioteca da fase embrionária de uma linhagem de postura (CC). A análise das seqüências EST (Expressed Sequence Tags) foi utilizada para identificar possíveis novos genes envolvidos no processo de formação da musculatura esquelética. As seqüências EST identificadas possibilitaram a construção de um banco com 6247 ESTs da musculatura peitoral das linhagens de corte e postura nas duas fases de desenvolvimento. Com o intuito de estabelecer uma relação entre o perfil de expressão dos fatores miogênicos: MyoD, MRF4 e miogenina; e dos genes Pax-3 e miostatina e a formação e maturação das fibras musculares, foi utilizada a técnica de PCR em tempo real. Em geral, a expressão dos fatores miogênicos foi maior na linhagem de corte em relação à de postura nas idades estudadas. Este estudo deverá contribuir para as áreas celular e molecular de desenvolvimento, além de fornecer recursos úteis aos programas de melhoramento genético de aves que visam obter animais com maior acúmulo de massa muscular. / Brazilian’s chicken production is increasing annually around 10%, which can be explained by the current technology applied to this sector (http://www.abef.com.br). Being chicken’s meat the cheapest animal protein source for consumers, there is a need to produce even more animals with increased muscular mass. For this purpose, understanding the molecular and cellular mechanisms involved with the skeletal muscle development is of great relevance. The myogenic factors, genes responsible for the determination and differentiation of muscle cells, were cloned and significant progress was made on the control of their expression. The use of DNA sequencing technique allows the identification and characterization of new genes involved in the complex chain of factors signalling systems that regulates the expression of avian skeletal muscles. In this study, two cDNA libraries (embryonic and post-hatching phases) were constructed from the breast muscle of a chicken broiler line (TT) and one library, from the embryonic phase, from a chicken layer line (CC). The EST (Expressed Sequencing Tags) analysis was used to identify probable new genes involved in the skeletal muscle development. The identified ESTs were used to generate a database containing 6247 breast muscle ESTs from two chicken lines in two development phases. Real time PCR was employed with the aim of establishing a relationship among the expression profile of myogenic factors (MyoD, MFR4, and myogenin), Pax-3 and myostatin genes with the formation and maturation of muscle fibers. In general, the expression of myogenic factors was greater in the broiler than in the layer chicken line in the phases under study. These results should contribute to other cellular and molecular development studies besides providing useful resources for chicken breeding programs whose objective is the deposition of skeletal muscle mass.

The interactions between Medicago truncatula and Phytophthora medicaginis were examined using skl, a mutant blocked in ethylene perception, and a range of wild accessions of this plant species. P. medicaginis infection of M. truncatula plants resulted in compatible responses, whereas the mutant genotype was found to be hyper-susceptible to the pathogen. Phytophthora reproduction and colonization rates of Medicago tissues supported this conclusion. Infection of skl with different pathogens reinforced this observation. Ethylene production in infected A17 and skl roots showed reduced ethylene evolution in the mutant and suggested that a positive feedback loop, known as autocatalytic ethylene production, amplified the ethylene signal. To complement the study, expression analyses of defense response genes in this interaction were studied by real time RTPCR of Phytophthora-infected and mock-infected roots. The genes analyzed were PAL, CHS, IFR, ACC oxidase, GST, and PR10. The sequences needed for the analysis were found through the scrutiny of the M. truncatula EST database employing phylogenetics and bio-informatics tools. In A17 all the genes studied were up-regulated, although the specific gene expression patterns differed. The comparison of gene expression between A17 and skl genotypes allowed the differentiation between ethylene-dependent and ethylene-independent responses. Discrete results showed that ACC oxidase homologues were downregulated in the ethylene perception mutant, corroborating the ethylene observations. However, the expression of genes involved in the phenylpropanoid metabolism was increased in skl relative to A17, suggestive of an antagonism between the ethylene perception pathway and the regulation of the phenylpropanoid pathway. This result implied that Medicago phytoalexins accumulate in the disease interaction, but raised questions about their role in resistance to Phytophthora infection. This study establishes a link between mechanisms that regulate symbiotic infection and the regulation of disease resistance to Oomycete pathogens, especially P. medicaginis. The results served to identify a series of Phytophthora-induced genes, which remain pathogen-responsive even in the absence of a functional ethylene perception pathway. While it is possible that the products of these genes are involved in resistance to P. medicaginis, the present results demonstrate that ethylene perception is required for resistance.

This project focuses on the use of sponge genetic transcripts in the form of expressed sequence tags (ESTs) readily available in Genbank to search for novel genes using bioinformatics analysis tools. Marine sponge species are known to house a diversity of marine microbes and are known as the ‘living fossils’ of the animal kingdom because of the large number of ancient genes they house. Genomic mining can be a useful tool in discovering these orthologous genes. This study utilized the techniques of genomic mining of 11 previously described sponge species transcripts. The results of this study provide a better understanding of the genomic structure of the organisms studied by creating a more detailed genetic map and examining a specific environmental snapshot of the genes in each sponge. Novel methods for dissecting beneficial information from large scale data sets available in genomic libraries utilizing bioinformatics search tool MGRAST were examined. The results of this study indicate that sponges house numerous genes that are likely to be evolutionary predecessors of genes in higher eukaryotes. Support was also given to the notion that microbial communities play a role in metabolic pathways of sponges.

A produção de aves no Brasil vem crescendo na ordem de 10% a cada ano, o que se explica pela atualização constante da tecnologia do setor (http://www.abef.com.br). Sendo a carne de frango a fonte de proteína animal mais barata e acessível ao consumidor, há necessidade de se produzir cada vez mais animais com maior acúmulo de massa muscular. Para isso, o entendimento dos mecanismos celulares e moleculares envolvidos na formação da musculatura esquelética é de extrema relevância. Os fatores miogênicos, genes responsáveis pela determinação e diferenciação de células musculares, foram clonados e progressos significativos foram desenvolvidos quanto ao controle da expressão dos mesmos. A utilização da técnica de seqüenciamento de DNA possibilita a identificação e caracterização de novos genes envolvidos na complexa rede de fatores que regulam a formação da musculatura esquelética em aves. Neste estudo, foram construídas duas bibliotecas de cDNA (fase embrionária e pós-eclosão) de músculo peitoral de uma linhagem de corte (TT) e uma biblioteca da fase embrionária de uma linhagem de postura (CC). A análise das seqüências EST (Expressed Sequence Tags) foi utilizada para identificar possíveis novos genes envolvidos no processo de formação da musculatura esquelética. As seqüências EST identificadas possibilitaram a construção de um banco com 6247 ESTs da musculatura peitoral das linhagens de corte e postura nas duas fases de desenvolvimento. Com o intuito de estabelecer uma relação entre o perfil de expressão dos fatores miogênicos: MyoD, MRF4 e miogenina; e dos genes Pax-3 e miostatina e a formação e maturação das fibras musculares, foi utilizada a técnica de PCR em tempo real. Em geral, a expressão dos fatores miogênicos foi maior na linhagem de corte em relação à de postura nas idades estudadas. Este estudo deverá contribuir para as áreas celular e molecular de desenvolvimento, além de fornecer recursos úteis aos programas de melhoramento genético de aves que visam obter animais com maior acúmulo de massa muscular. / Brazilian’s chicken production is increasing annually around 10%, which can be explained by the current technology applied to this sector (http://www.abef.com.br). Being chicken’s meat the cheapest animal protein source for consumers, there is a need to produce even more animals with increased muscular mass. For this purpose, understanding the molecular and cellular mechanisms involved with the skeletal muscle development is of great relevance. The myogenic factors, genes responsible for the determination and differentiation of muscle cells, were cloned and significant progress was made on the control of their expression. The use of DNA sequencing technique allows the identification and characterization of new genes involved in the complex chain of factors signalling systems that regulates the expression of avian skeletal muscles. In this study, two cDNA libraries (embryonic and post-hatching phases) were constructed from the breast muscle of a chicken broiler line (TT) and one library, from the embryonic phase, from a chicken layer line (CC). The EST (Expressed Sequencing Tags) analysis was used to identify probable new genes involved in the skeletal muscle development. The identified ESTs were used to generate a database containing 6247 breast muscle ESTs from two chicken lines in two development phases. Real time PCR was employed with the aim of establishing a relationship among the expression profile of myogenic factors (MyoD, MFR4, and myogenin), Pax-3 and myostatin genes with the formation and maturation of muscle fibers. In general, the expression of myogenic factors was greater in the broiler than in the layer chicken line in the phases under study. These results should contribute to other cellular and molecular development studies besides providing useful resources for chicken breeding programs whose objective is the deposition of skeletal muscle mass.

Le rôle important joué par la mitochondrie dans la cellule eucaryote est admis depuis longtemps. Cependant, la composition exacte des mitochondries, ainsi que les processus biologiques qui sy déroulent restent encore largement inconnus. Deux facteurs principaux permettent dexpliquer pourquoi létude des mitochondries progresse si lentement : le manque defficacité des méthodes didentification des protéines mitochondriales et le manque de précision dans lannotation de ces protéines. En conséquence, nous avons développé un nouvel outil informatique, YimLoc, qui permet de prédire avec succès les protéines mitochondriales à partir des séquences génomiques. Cet outil intègre plusieurs indicateurs existants, et sa performance est supérieure à celle des indicateurs considérés individuellement. Nous avons analysé environ 60 génomes fongiques avec YimLoc afin de lever la controverse concernant la localisation de la bêta-oxydation dans ces organismes. Contrairement à ce qui était généralement admis, nos résultats montrent que la plupart des groupes de Fungi possèdent une bêta-oxydation mitochondriale. Ce travail met également en évidence la diversité des processus de bêta-oxydation chez les champignons, en corrélation avec leur utilisation des acides gras comme source dénergie et de carbone. De plus, nous avons étudié le composant clef de la voie de bêta-oxydation mitochondriale, lacyl-CoA déshydrogénase (ACAD), dans 250 espèces, couvrant les 3 domaines de la vie, en combinant la prédiction de la localisation subcellulaire avec la classification en sous-familles et linférence phylogénétique. Notre étude suggère que les gènes ACAD font partie dune ancienne famille qui a adopté des stratégies évolutionnaires innovatrices afin de générer un large ensemble denzymes susceptibles dutiliser la plupart des acides gras et des acides aminés. Finalement, afin de permettre la prédiction de protéines mitochondriales à partir de données autres que les séquences génomiques, nous avons développé le logiciel TESTLoc qui utilise comme données des Expressed Sequence Tags (ESTs). La performance de TESTLoc est significativement supérieure à celle de tout autre outil de prédiction connu. En plus de fournir deux nouveaux outils de prédiction de la localisation subcellulaire utilisant différents types de données, nos travaux démontrent comment lassociation de la prédiction de la localisation subcellulaire à dautres méthodes danalyse in silico permet daméliorer la connaissance des protéines mitochondriales. De plus, ces travaux proposent des hypothèses claires et faciles à vérifier par des expériences, ce qui présente un grand potentiel pour faire progresser nos connaissances des métabolismes mitochondriaux. / The important role of mitochondria in the eukaryotic cell has long been appreciated, but their exact composition and the biological processes taking place in mitochondria are not yet fully understood. The two main factors that slow down the progress in this field are inefficient recognition and imprecise annotation of mitochondrial proteins. Therefore, we developed a new computational tool, YimLoc, which effectively predicts mitochondrial proteins from genomic sequences. This tool integrates the strengths of existing predictors and yields higher performance than any individual predictor. We applied YimLoc to ~60 fungal genomes in order to address the controversy about the localization of beta oxidation in these organisms. Our results show that in contrast to previous studies, most fungal groups do possess mitochondrial beta oxidation. This work also revealed the diversity of beta oxidation in fungi, which correlates with their utilization of fatty acids as energy and carbon sources. Further, we conducted an investigation of the key component of the mitochondrial beta oxidation pathway, the acyl-CoA dehydrogenase (ACAD). We combined subcellular localization prediction with subfamily classification and phylogenetic inference of ACAD enzymes from 250 species covering all three domains of life. Our study suggests that ACAD genes are an ancient family with innovative evolutionary strategies to generate a large enzyme toolset for utilizing most diverse fatty acids and amino acids. Finally, to enable the prediction of mitochondrial proteins from data beyond genome sequences, we designed the tool TESTLoc that uses expressed sequence tags (ESTs) as input. TESTLoc performs significantly better than known tools. In addition to providing two new tools for subcellular localization designed for different data, our studies demonstrate the power of combining subcellular localization prediction with other in silico analyses to gain insights into the function of mitochondrial proteins. Most importantly, this work proposes clear hypotheses that are easily testable, with great potential for advancing our knowledge of mitochondrial metabolism.

Le rôle important joué par la mitochondrie dans la cellule eucaryote est admis depuis longtemps. Cependant, la composition exacte des mitochondries, ainsi que les processus biologiques qui sy déroulent restent encore largement inconnus. Deux facteurs principaux permettent dexpliquer pourquoi létude des mitochondries progresse si lentement : le manque defficacité des méthodes didentification des protéines mitochondriales et le manque de précision dans lannotation de ces protéines. En conséquence, nous avons développé un nouvel outil informatique, YimLoc, qui permet de prédire avec succès les protéines mitochondriales à partir des séquences génomiques. Cet outil intègre plusieurs indicateurs existants, et sa performance est supérieure à celle des indicateurs considérés individuellement. Nous avons analysé environ 60 génomes fongiques avec YimLoc afin de lever la controverse concernant la localisation de la bêta-oxydation dans ces organismes. Contrairement à ce qui était généralement admis, nos résultats montrent que la plupart des groupes de Fungi possèdent une bêta-oxydation mitochondriale. Ce travail met également en évidence la diversité des processus de bêta-oxydation chez les champignons, en corrélation avec leur utilisation des acides gras comme source dénergie et de carbone. De plus, nous avons étudié le composant clef de la voie de bêta-oxydation mitochondriale, lacyl-CoA déshydrogénase (ACAD), dans 250 espèces, couvrant les 3 domaines de la vie, en combinant la prédiction de la localisation subcellulaire avec la classification en sous-familles et linférence phylogénétique. Notre étude suggère que les gènes ACAD font partie dune ancienne famille qui a adopté des stratégies évolutionnaires innovatrices afin de générer un large ensemble denzymes susceptibles dutiliser la plupart des acides gras et des acides aminés. Finalement, afin de permettre la prédiction de protéines mitochondriales à partir de données autres que les séquences génomiques, nous avons développé le logiciel TESTLoc qui utilise comme données des Expressed Sequence Tags (ESTs). La performance de TESTLoc est significativement supérieure à celle de tout autre outil de prédiction connu. En plus de fournir deux nouveaux outils de prédiction de la localisation subcellulaire utilisant différents types de données, nos travaux démontrent comment lassociation de la prédiction de la localisation subcellulaire à dautres méthodes danalyse in silico permet daméliorer la connaissance des protéines mitochondriales. De plus, ces travaux proposent des hypothèses claires et faciles à vérifier par des expériences, ce qui présente un grand potentiel pour faire progresser nos connaissances des métabolismes mitochondriaux. / The important role of mitochondria in the eukaryotic cell has long been appreciated, but their exact composition and the biological processes taking place in mitochondria are not yet fully understood. The two main factors that slow down the progress in this field are inefficient recognition and imprecise annotation of mitochondrial proteins. Therefore, we developed a new computational tool, YimLoc, which effectively predicts mitochondrial proteins from genomic sequences. This tool integrates the strengths of existing predictors and yields higher performance than any individual predictor. We applied YimLoc to ~60 fungal genomes in order to address the controversy about the localization of beta oxidation in these organisms. Our results show that in contrast to previous studies, most fungal groups do possess mitochondrial beta oxidation. This work also revealed the diversity of beta oxidation in fungi, which correlates with their utilization of fatty acids as energy and carbon sources. Further, we conducted an investigation of the key component of the mitochondrial beta oxidation pathway, the acyl-CoA dehydrogenase (ACAD). We combined subcellular localization prediction with subfamily classification and phylogenetic inference of ACAD enzymes from 250 species covering all three domains of life. Our study suggests that ACAD genes are an ancient family with innovative evolutionary strategies to generate a large enzyme toolset for utilizing most diverse fatty acids and amino acids. Finally, to enable the prediction of mitochondrial proteins from data beyond genome sequences, we designed the tool TESTLoc that uses expressed sequence tags (ESTs) as input. TESTLoc performs significantly better than known tools. In addition to providing two new tools for subcellular localization designed for different data, our studies demonstrate the power of combining subcellular localization prediction with other in silico analyses to gain insights into the function of mitochondrial proteins. Most importantly, this work proposes clear hypotheses that are easily testable, with great potential for advancing our knowledge of mitochondrial metabolism.