The basal ganglia are the key circuitry controlling movement and reward behavior. Both locomotion and reward-related behavior are also modified by dopaminergic input from the substantia nigra and the ventral tegmental area (VTA). If the basal ganglia are severed by lesion or in disease, such as in Parkinson’s disease, the affected individuals suffer from severe motor impairments and often of affective and reward-related symptoms. The subthalamic nucleus (STN) is a glutamatergic key area of the basal ganglia and a common target for deep brain stimulation in Parkinson’s disease to alleviate motor symptoms. The STN serves not only motoric, but also limbic and cognitive functions, which is often attributed to a tripartite anatomical subdivision. However, the functional output of both VTA and STN may rely more on intermingled subpopulations than on a strictly anatomical subdivision. In this doctoral thesis, the role of subpopulations within and associated with the basal ganglia is addressed from both a genetic and a behavioral angle. The identification of a genetically defined subpopulation within the STN, co-expressing Paired-like homeodomain transcription factor 2 (Pitx2) and Vesicular glutamate transport 2 (Vglut2), made it possible to conditionally reduce glutamatergic transmission from this subgroup of neurons and to investigate its influence on locomotion and motivational behavior, giving interesting insights into the mechanisms possibly underlying deep brain stimulation therapy and its side-effects. We address the strong influence of the Pitx2-Vglut2 subpopulation on movement, as well as the more subtle changes in reward-related behavior and the impact of the alterations on the reward-related dopaminergic circuitry. We also further elucidate the genetic composition of the STN by finding new markers for putative STN subpopulations, thereby opening up new possibilities to target those cells genetically and optogenetically. This will help in future to examine both STN development, function in the adult central nervous system and defects caused by specific deletion. Eventually identifying and characterizing subpopulations of the STN can contribute to the optimization of deep brain stimulation and help to reduce its side-effects, or even open up possibilities for genetic or optogenetic therapy approaches.

Uma das possíveis razões do sucesso da área de Redes Complexas decorre da flexibilidade destas estruturas para representação e modelagem de inúmeros sistemas complexos, incluindo em biologia. Entretanto, existem alguns aspectos do uso destes conceitos ainda pouco detalhados, como a questão da limiarização de relacionamentos graduados de forma a se obter uma rede binária de conexões. Uma outra questão interessante, ainda em aberto, refere-se a como redes complexas derivadas de sistemas diversos assemelham-se ou não umas às outras. Em biologia, esta questão aparece com particular interesse no que se refere às escalas das estruturas e sistemas biológicos, motivando a busca de analogias estruturais e funcionais. O presente trabalho de doutorado situa-se na interseção destes dois problemas. Em primeiro lugar, utilizamos a importante questão da limiarização de redes de co-expressão gênica como laboratório para desenvolver e comparar cinco métodos deste tipo, com fundamentações diferentes. Verificamos que dependendo da natureza do banco de dados, o impacto da limiarização nas propriedades topológicas pode ser grande, e sugerimos diretrizes de como utilizar os métodos diante do comportamento dos dados. Em seguida, abordamos a representação dos canais do sistema Haversiano dos ossos, com o objetivo de estudar este problema em particular e compará-lo com as redes de co-expressão na busca de analogias topológicas. As análises mostraram que os ossos são indistinguíveis em relação às propriedades topológicas das redes, mas nota-se uma variação mais pronunciada em relação às propriedades geométricas. Isso sugere que a arquitetura topológica do sistema vascular pode ser independente do tipo ósseo, mas que a demanda biológica de transporte pode variar em relação à posição no mesmo osso, e entre ossos diferentes. Como as redes do sistema Haversiano possuem pesos relacionados à espessura dos canais, utilizamos e comparamos os métodos de limiarização aqui propostos como forma de validação dos resultados. Concluindo estes desenvolvimentos, realizamos uma comparação estrutural dos dois tipos de redes obtidas, ou seja, de co-expressão gênica e de canais Haversianos. / One of the possible reasons for the success of Complex Networks arises from the flexibility of these structures for representation and modeling of numerous complex systems, including in biology. However, there are still some aspects of the use of these concepts, such as the question of the thresholding of graduated relationships in order to obtain a binary network of connections. Another interesting question, still open, concerns how complex networks derived from different systems are similar to another or are not. In biology, this question appears with particular interest in the scales of biological structures and systems, motivating the search for structural and functional analogies. The present PhD work lies at the intersection of these two problems. First, we used the important question of the thresholding of gene co-expression networks as a laboratory for development and to compare five methods of this type, with different foundations. We have found that depending on the nature of the database, the impact of thresholding on topological properties may be large, and we suggest guidelines on how to use the methods in face of the data`s behavior. Then, we discuss the characterization of the channels of the Haversian system of bones, with the aim of studying this particular problem and comparing it with the networks of co-expression in the search for topological analogies. The analyzes showed that the bones are indistinguishable in relation to the topological properties of the networks, but a more pronounced variation in relation to the geometric properties is noticed. This suggests that the topological architecture of the vascular system may be independent of the bone type but that the biological demand for transport may be varying relatively to the position in the same bone and between different bones. As the networks of the Haversian system have weights related to the thickness of the channels, we used and compared the thresholding methods proposed here for the validation of the results. Concluding these developments, we performed a structural comparison of the two types of networks obtained, the gene co-expression network and the Haversian channels network.

A eficiência alimentar (EA) é um fenótipo complexo, controlado por diversos processos biológicos. Determinar e entender esses processos é fundamental para selecionar animais superiores ou mesmo orientar decisões de manejo com o objetivo de aumentar a produtividade e diminuir o impacto ambiental da pecuária. Neste trabalho, propusemos analisar a EA através de uma abordagem de biologia de sistemas, baseada em transcriptômica multitecidual, a fim de gerar um entendimento sistêmico dessa característica. Para isso, 18 animais extremos para consumo alimentar residual foram selecionados a partir de um grupo de 98 bovinos Nelore machos inteiros e tiveram seu transcriptoma de hipotálamo, pituitária, adrenal, músculo e fígado sequenciado (RNAseq). Os reads gerados foram alinhados com o genoma de referência bovino (UMD3.1), filtrados e a expressão de cada gene foi estimada. A partir desses dados três abordagens de análises de dados foram desenvolvidas. Na primeira, cinco critérios de inclusão foram definidos para selecionar genes e construir uma rede de co-expressão para os cinco tecidos, de forma que além de indicarmos diversos genes e processos associados à EA, também fomos capazes de determinar dois genes reguladores, o NR2F6 e o TGFB1. Na segunda abordagem focamos no eixo hipotálamo-pituitária-adrenal, também utilizando análises de co-expressão, mas dessa vez sem partir de prévia seleção de genes e concluímos que o sistema de recompensa do cérebro pode estar envolvido no estímulo para maior consumo de alimentos observado no grupo de baixa EA. Finalmente, com a terceira abordagem, identificamos RNAs longos não codificadores (lncRNAs) expressos nos cinco tecidos e encontramos 30 transcritos expressos diferencialmente entre a alta e baixa EA na pituitária, músculo e adrenal, sendo que alguns deles se mostraram relacionados a processos já previamente demostrados como sendo associados a essa característica. Concluímos que, apesar de não conseguirmos determinar nesse momento o papel da maior susceptibilidade ao estresse, reportado na literatura para animais de baixa EA, no estímulo para maior ingestão de alimentos desse grupo, o sistema de recompensa hipotalâmico parece estar envolvido nesse processo. A maior ingestão pode ser a causa da resposta inflamatória observada no fígado, sendo ela de origem bacteriana, indicada pela maior concentração de endotoxina sérica nos animais menos eficientes. O maior turnover de proteínas no músculo de animais de baixa EA já havia sido indicado como um dos fatores que levam ao maior gasto energético nesses indivíduos e foi confirmado nesse trabalho. Além de alguns fatores de transcrição serem indicados como reguladores centrais desse fenótipo, lncRNAs também parecem ter função regulatória importante na EA. / Feed efficiency (FE) is a complex phenotype, controlled by several biological processes. Determining and understanding these processes is fundamental to select superior animals or even guide management decisions, aiming to increase productivity and reduce the environmental impact of livestock. In this work, we propose to analyze FE through a systems biology approach, based on multi-tissue transcriptomics, in order to generate a systemic understanding of this trait. For this purpose, 18 extreme animals for residual feed intake were selected from a group of 98 male Nellore cattle and had their hypothalamus, pituitary, adrenal gland, muscle and liver transcriptome sequenced (RNAseq). Reads generated were aligned with the bovine reference genome (UMD3.1), filtered and the expression of each gene was estimated. From these data three experiments were developed. In the first one, five inclusion criteria were defined to select genes and to construct a network of coexpression for the five tissues, so that besides indicating several genes and processes associated with EA, we were also able to determine two regulatory genes, NR2F6 and TGFB1. In the second experiment, we focused on the hypothalamic-pituitary-adrenal axis, also using co-expression analysis, but this time without starting from previous selected genes. We conclude that the reward system of the brain might be involved in the stimulus for higher feed intake observed in the low EA group. Finally, in the third experiment, we identified long noncoding RNAs (lncRNAs) expressed in the five tissues and found 30 transcripts differentially expressed between the high and low FE in the pituitary, muscle and adrenal, and some of them were related to previously demonstrated processes associated to this trait. We conclude that although we cannot determine at this time the role of higher susceptibility to stress, reported in the literature for animals of low FE, in the stimulus for higher feed intake of this group, the hypothalamic reward system seems to be involved in this process. The higher ingestion might be the cause of the inflammatory response observed in the liver of, being of bacterial origin, indicated by the higher concentration of serum endotoxin in less efficient animals. The higher turnover of proteins in the muscle of low FE animals had already been indicated as one of the factors that lead to higher energy expenditure in these individuals and it was confirmed in this study. In addition to some transcription factors being indicated as central regulators of this phenotype, lncRNAs also appear to play an important regulatory role in FE.

Nous avons utilisé la décomposition par séparateurs minimaux complets. Pour décomposer un graphe G, il est nécessaire de trouver les séparateurs minimaux dans le graphe triangulé H correspondant. Dans ce contexte, nos premiers efforts se sont tournés vers la détection de séparateurs minimaux dans un graphe triangulé. Nous avons défini une structure, que nous avons nommée 'atom tree'. Cette dernière est inspirée du 'clique tree' et permet d'obtenir et de représenter les atomes qui sont les produits de la décomposition. Lors de la manipulation de données à l'aide de treillis de Galois, nous avons remarqué que la décomposition par séparateurs minimaux permettait une approche de type 'Diviser pour régner' pour les treillis de Galois. La détection des gènes fusionnés, qui est une étape importante pour la compréhension de l'évolution des espèces, nous a permis d'appliquer nos algorithmes de détection de séparateurs minimaux complets, qui nous a permis de détecter et regrouper de manière efficace les gènes fusionnés. Une autre application biologique fut la détection de familles de gènes d'intérêts à partir de données de niveaux d'expression de gènes. La structure de 'l'atom tree' nous a permis d'avoir un bon outils de visualisation et de gérer des volumes de données importantes.

Nous avons utilisé la décomposition par séparateurs minimaux complets. Pour décomposer un graphe G, il est nécessaire de trouver les séparateurs minimaux dans le graphe triangulé H correspondant. Dans ce contexte, nos premiers efforts se sont tournés vers la détection de séparateurs minimaux dans un graphe triangulé. Nous avons défini une structure, que nous avons nommée 'atom tree'. Cette dernière est inspirée du 'clique tree' et permet d'obtenir et de représenter les atomes qui sont les produits de la décomposition. Lors de la manipulation de données à l'aide de treillis de Galois, nous avons remarqué que la décomposition par séparateurs minimaux permettait une approche de type `Diviser pour régner' pour les treillis de Galois. La détection des gènes fusionnés, qui est une étape importante pour la compréhension de l'évolution des espèces, nous a permis d'appliquer nos algorithmes de détection de séparateurs minimaux complets, qui nous a permis de détecter et regrouper de manière efficace les gènes fusionnés. Une autre application biologique fut la détection de familles de gènes d'intérêts à partir de données de niveaux d'expression de gènes. La structure de `l'atom tree' nous a permis d'avoir un bon outils de visualisation et de gérer des volumes de données importantes. / We worked on clique minimal separator decomposition. In order to compute this decomposition on a graph G we need to compute the minimal separators of its triangulation H. In this context, the first efforts were on finding a clique minimal separators in a chordal graph. We defined a structure called atom tree inspired from the clique tree to compute and represent the final products of the decomposition, called atoms. The purpose of this thesis was to apply this technique on biological data. While we were manipulating this data using Galois lattices, we noticed that the clique minimal separator decomposition allows a divide and conquer approach on Galois lattices. One biological application of this thesis was the detection of fused genes which are important evolutionary events. Using algorithms we produced in the course of along our work we implemented a program called MosaicFinder that allows an efficient detection of this fusion event and their pooling. Another biological application was the extraction of genes of interest using expression level data. The atom tree structure allowed us to have a good visualization of the data and to be able to compute large datasets.

La verticilliose de la luzerne cultivée (Medicago sativa L.) est une maladie de flétrissement vasculaire causée par le champignon du sol Verticillium alfalfae. C’est une des maladies les plus dévastatrices et les plus difficiles à contrôler. Les symptômes sont un jaunissement des feuilles suivi de flétrissement et défoliation. Les structures de dormance produites en fin de cycle de maladie constituent une source de contamination pour plusieurs années. Aucun traitement fongicide n’est efficace, la seule méthode de contrôle reste la production de variétés résistantes. En raison de sa nature tétraploïde et de son allogamie, il est difficile de réaliser des études génétiques sur M. sativa. Un pathosystème entre la légumineuse modèle Medicago truncatula et V. alfalfae a été mis au point pour étudier les mécanismes mis en place au cours de l’interaction entre V. alfalfae et son hôte. Les lignées A17 et F83005.5 ont été identifiées comme étant respectivement résistante et sensible à la souche V31-2 de V. alfalfae. La première partie de ce travail de thèse est une étude comparative du processus d’infection de V. alfalfae V31-2 au cours d’une interaction compatible et incompatible. Nous avons étudié la cinétique de colonisation des racines d’A17 et F83005.5 avec la souche V31-2 exprimant le gène marqueur GFP ce qui confère une fluorescence verte au champignon. Les observations en microscopie confocale ont montré que le champignon se développait dans les racines des deux lignées contrastées de façon similaire pendant les premières étapes d’infection. Quelques jours plus tard, il n’était plus détectable dans la lignée résistante, tandis qu’il colonisait les vaisseaux du xylème dans la lignée sensible et avançait vers les parties aériennes. La lignée résistante A17 était donc capable d’inhiber totalement le développement du pathogène dans la partie racinaire. Ce résultat a été confirmé par la quantification de l’ADN du pathogène dans la racine et dans les parties aériennes. Nous avons conclu que la lignée A17 exprime une résistance totale à V. alfalfae. Dans la deuxième partie de cette thèse, nous avons cherché à identifier le rôle des hormones dans les mécanismes de défense de M. truncatula en réalisant des traitements exogènes avec l’acide salicylique (SA), le méthyl jasmonate (MeJA), l’éthylène (ET), l’auxine et l’acide abscissique (ABA). Ces traitements n’avaient aucun effet sur la résistance d’A17, mais toutes les hormones, à l’exception du MeJA, protégeaient la lignée sensible contre les symptômes de la maladie. La quantification de l’ADN du champignon in planta a montré que seule l’ABA inhibait significativement le développement du pathogène. Dans la troisième partie, nous avons cherché à identifier des acteurs moléculaires impliqués dans la résistance et la sensibilité en comparant le transcriptome de la lignée F83005.5 et A17 dans la phase précoce de l’infection. L’analyse des gènes différentiellement exprimés en réponse à l’inoculation montre que les deux lignées induisent des gènes impliqués dans la production de métabolites secondaires, et des gènes des voies de signalisation hormonale. Mais seule la lignée résistante montre une induction de l’expression de gènes de résistance et de gènes impliqués dans les voies de signalisation tels que des gènes de la synthèse de l’ABA et des facteurs de transcription. Ces résultats renforcent l’hypothèse que l’ABA serait un facteur important dans la résistance à V. alfalfae chez M. truncatula. L’analyse des réseaux de gènes coexprimés a montré une désorganisation de la réponse de la lignée F83005.5. En revanche, dans la lignée A17, on observe une réponse organisée et orientée vers la défense. Ce travail décrit pour la première fois les mécanismes de défense de M. truncatula contre V. alfalfae. L’ensemble des résultats montre que la résistance exprimée chez la lignée A17 est différente des mécanismes de résistance contre la verticilliose décrits chez la tomate et le coton. / Verticllium wilt of alfalfa (Medicago sativa L.) is a vascular disease caused by the soil fungus Verticillium alfalfae. It is one of the most devastating diseases and most difficult to control. Symptoms are leaf yellowing followed by wilting and defoliation. Survival structures which are produced at the end of the disease cycle are a source of inoculum for many years. Fungicide treatment is not efficient, and the only way to control this disease is to breed resistant cultivars. Genetic studies are difficult in M. sativa because it is tetraploid and outcrossing. A pathosystem has been set up in our laboratory in order to study the mechanisms involved in the interaction between V. alfalfae and its host. It involves the model legume plant M. truncatula and strain V31-2 of V. alfalfae. The lines A17 and F83005.5 were identified as respectively resistant and susceptible to V31-2. The first part of this thesis is a comparative study of the infection process of V. alfalfae V31-2 in a compatible and incompatible interaction. The time course of root colonization in lines A17 and F83005.5 was studied with a GFP-expressing strain which confers green fluorescence to the fungus. Observations by confocal microscopy showed that the fungus developed in a similar way in roots of both lines during the first stage of the interaction. Some days later the fungus was not detectable anymore in roots of the resistant line, but has colonized the xylem vessels and grew towards the aerial part of the plant in the susceptible line. Quantification of fungal DNA in roots and aerial parts confirmed these results. This showed that the resistant line A17 was able to suppress the pathogen’s development in the root. It can be concluded that line A17 presents total resistance towards V. alfalfae. The second part of the thesis concerns the role of phytohormones for defence mechanisms against V. alfalfae in M. truncatula. Susceptible and resistant plants were treated with salicylic acid (SA), methyl jasmonate (MeJA), ethylene (ET), auxine and abscissic acid (ABA). Resistance of line A17 was not affected by these treatments, but all hormones except MeJA protected the susceptible line against disease symptoms. However, when fungal DNA was quantified in planta in these assays, only ABA inhibited the pathogen’s development significantly. The third part of this thesis aims at identifying molecular factors involved in resistance and susceptibility. To address this topic, the transcriptome of lines A17 and F83005.5 was compared during the early stages of infection, in inoculated or mock-inoculated plants. A bioinformatics analysis of differentially expressed genes showed that both lines responded to inoculation by inducing genes involved in secondary metabolism and hormone signaling pathways. However, only resistant line A17 showed induction of the expression of putative resistance and signaling genes, genes involved in ABA synthesis and transcription factors. This result confirms our hypothesis that ABA might be an important factor in M. truncatula resistance against V. alfalfae. Gene network analysis of co-expressed genes showed a disorganised response in the susceptible line, whereas in the resistant line the response was highly organised and turned to defence. Taken together, this work describes for the first time defence mechanisms against V. alfalfae in M. truncatula. The results show that resistance of line A17 is different from resistance mechanisms Verticillium resistance described in tomato and cotton. Several approaches for future research are presented in order to test our hypotheses concerning genes and molecules putatively involved in this interaction. With regard to applied research, defence and signaling genes identified in this work may be useful for the improvement of alfalfa, after functional validation.

[ES] Las proteínas DELLA son elementos centrales de la ruta de señalización por giberelinas (GAs), donde actúan como represores de las respuestas a GAs. En angiospermas, se ha observado que las DELLAs interaccionan con cientos de factores de transcripción y otros reguladores transcripcionales, modulando de este modo la expresión génica. Por lo tanto, la participación generalizada de las GAs a lo largo del ciclo vital de las plantas es una consecuencia directa de la promiscuidad de las proteínas DELLA y de su rol como reguladores transcripcionales clave. Aunque las DELLAs se encuentran en todas las plantas terrestres, solo son reguladas por GAs en traqueofitas, en las cuales se han centrado la mayoría de los estudios previos. El trabajo aquí presentado pretende descifrar en qué punto de la evolución las DELLAs adquirieron las características moleculares que las convierten en "hubs", y qué ventajas biológicas podrían estar relacionadas con la evolución de las DELLAs. En el primer capítulo, describimos análisis comparativos de redes de co-expresión génicas asociadas a DELLA en especies vasculares y no vasculares, y proponemos que las DELLAs tienen un papel crítico en la conformación de panoramas transcripcionales. Desde su aparición en el ancestro de las plantas terrestres, conectaron múltiples programas transcripcionales que serían independientes sin ellas, mejoraron la eficiencia de la transmisión de información y aumentaron el nivel de complejidad en la regulación transcripcional. También observamos que este efecto se incrementó tras su integración en la señalización por GAs. En el segundo capítulo, proporcionamos pruebas experimentales más sólidas que extienden esta conclusión. Usando una combinación de rastreos de doble híbrido en levadura dirigidos, con DELLAs de diferentes posiciones en el linaje vegetal, y complementación heteróloga en plantas de Arabidopsis y Marchantia, mostramos que la promiscuidad es una característica conservada en todas las proteínas DELLA examinadas; lo cual sugiere que esta propiedad puede haber estado codificada en la DELLA ancestral, y después se mantuvo a lo largo de la evolución, con episodios de co-evolución entre las DELLAs y sus interactores. Finalmente, la comparación de dianas transcripcionales de las DELLAs en diferentes especies muestra la llamativa conservación de un pequeño conjunto de funciones reguladas por DELLAs en plantas vasculares y no vasculares -incluyendo la respuesta a factores de estrés-, mientras que análisis comparativos de promotores indican que las dianas específicas de cada especie aparecen mediante al menos dos mecanismos: el establecimiento de nuevas interacciones de la DELLA, y el acceso a nuevos promotores diana a través de interactores conservados. En resumen, proponemos que las DELLAs son proteínas intrínsecamente promiscuas, con propiedades de "hub" en virtualmente todas las plantas, y la conservación de sus dianas transcripcionales depende en gran medida de la evolución de sus interactores. La conservación de las propiedades de "hub" de las proteínas DELLA las convierte en dianas biotecnológicas ideales, ya que la mayoría del conocimiento generado en una especie podría ser fácilmente adaptado a otras especies relativamente lejanas. / [CA] Les proteïnes DELLA són elements centrals de la ruta de senyalització per gibberel·lines (GAs), on actuen com a repressors de les respostes a GAs. En angiospermes, s'ha observat que les DELLAs interaccionen amb centenars de factors de transcripció i altres reguladors transcripcionals, modulant d'aquesta manera l'expressió gènica. Per tant, la participació generalitzada de les GAs al llarg del cicle vital de les plantes és una conseqüència directa de la promiscuïtat de les proteïnes DELLA i del seu rol com a reguladors transcripcionals clau. Tot i que les DELLAs es troben en totes les plantes terrestres, només són regulades per GAs en traqueofites, en les quals s'han centrat la majoria dels estudis anteriors. El treball ací presentat pretén desxifrar en quin punt de l'evolució les DELLAs van adquirir les característiques moleculars que les converteixen en "hubs", i quins avantatges biològics podrien estar relacionats amb l'evolució de les DELLAs. En el primer capítol, descrivim anàlisis comparatius de xarxes de co-expressió gèniques associades a DELLA en espècies vasculars i no vasculars, i proposem que les DELLAs tenen un paper crític en la conformació de panorames transcripcionals. Des de la seua aparició en l'ancestre de les plantes terrestres, van connectar múltiples programes transcripcionals que serien independents sense elles, van millorar l'eficiència de la transmissió d'informació i augmentar el nivell de complexitat en la regulació transcripcional. També observem que aquest efecte es va incrementar després de la seua integració en la senyalització per GAs. En el segon capítol, proporcionem proves experimentals més sòlides que estenen aquesta conclusió. Usant una combinació de rastrejos de doble híbrid en rent dirigits, amb DELLAs de diferents posicions en el llinatge vegetal, i complementació heteròloga en plantes d'Arabidopsis i Marchantia, vam mostrar que la promiscuïtat és una característica conservada en totes les proteïnes DELLA examinades; la qual cosa suggereix que aquesta propietat pot haver estat codificada en la DELLA ancestral, i després es va mantenir al llarg de l'evolució, amb episodis de co-evolució entre les DELLAs i els seus interactors. Finalment, la comparació de dianes transcripcionals de les DELLAs en diferents espècies mostra la cridanera conservació d'un petit conjunt de funcions regulades per DELLAs en plantes vasculars i no vasculars -incloent la resposta a factors de estrès-, mentre que anàlisis comparatius de promotors indiquen que les dianes específiques de cada espècie apareixen mitjançant al menys dos mecanismes: l'establiment de noves interaccions de la DELLA, i l'accés a nous promotors diana a través d'interactors conservats. En resum, proposem que les DELLAs són proteïnes intrínsecament promíscues, amb propietats de "hub" en virtualment totes les plantes, i la conservació de les seues dianes transcripcionals depèn en gran mesura de l'evolució dels seus interactors. La conservació de les propietats de "hub" de les proteïnes DELLA les converteix en dianes biotecnològiques ideals, ja que la majoria del coneixement generat en una espècie podria ser fàcilment adaptat a altres espècies relativament llunyanes. / [EN] DELLA proteins are central elements of the gibberellin (GA) signaling pathway, where they act as repressors of GA responses. In angiosperms, DELLAs have been shown to interact with hundreds of transcription factors and other transcriptional regulators, thereby modulating gene expression. Hence, the widespread involvement of GAs along the plant life cycle is a direct consequence of the promiscuity of DELLA proteins and their role as key transcriptional regulators. Although DELLAs can be found in all land plants, they are only regulated by GAs in tracheophytes, where most of the previous studies have been focused. The work presented here aims to decipher at which point in evolution did DELLAs acquired the molecular features that render them as 'hubs', and what biological advantages could be related with DELLA evolution. In the first chapter, we describe comparative analyses of DELLA-associated gene co-expression networks in vascular and non-vascular species and propose that DELLAs have a critical role in the conformation of transcriptional landscapes. Upon their emergence in the ancestor of land plants, they connected multiple transcriptional programs that would be independent without them, improved the efficiency of information transmission and increased the level of complexity in transcriptional regulation. We also observed that this effect was enhanced after their integration in GA signaling. In the second chapter, we provide stronger experimental evidence that extends this conclusion. Using a combination of targeted yeast two-hybrid screenings with DELLAs from different positions in the plant lineage, and heterologous complementation in Arabidopsis and Marchantia plants, we show that promiscuity is a conserved feature in all the examined DELLA proteins, which suggests that this property might have been encoded in the ancestral DELLA, and then maintained along evolution, with episodes of co-evolution between DELLAs and their partners. Finally, comparison of DELLA transcriptional targets in different species shows a striking conservation of a small set of functions regulated by DELLAs in vascular and non-vascular plants -including the response to stress factors-, while comparative promoter analysis indicates that species-specific DELLA targets emerge through at least two mechanisms: establishment of novel DELLA interactions, and the access by conserved partners to new target promoters. In summary, we propose that DELLAs are intrinsically promiscuous proteins, with hub properties in virtually all land plants, and the conservation of their transcriptional targets largely depends on the evolution of their interactors. The conservation of the hub properties of DELLA proteins makes them ideal biotechnological targets, as most of the knowledge generated in one species could be readily adapted to other relatively distant species. / Esta tesis doctoral ha sido posible gracias a un contrato predoctoral FPU del Ministerio de Educación (FPU2014-01941). / Briones Moreno, A. (2020). Evolution of DELLA proteins as transcriptional hubs in plants [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/159378 / TESIS

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Die Dissertation befasst sich mit der Untersuchung der Ko-Expression des GFAP- und des PLP-Promotors in Müllerzellen der Netzhaut transgener Mäuse. Die verwendete Mauslinie ist tripel-transgen für den GFAP- und den PLP-Promotor sowie für einen ROSA26-Reporter. Durch die Quantifizierung der EYFP-Expression in Müllerzellen konnte gezeigt werden, dass es nach akuter ischämischer Schädigung sowie einer angeborenen retinalen Degeneration in Müllerzellen zu einer Aktivierung des oligodendrozytären PLP-Promotors kommt. Weiterhin wurde festgestellt, dass die Aktivierung des Transkriptionsfaktors Sox-9, der sowohl für die Entwicklung der Müllerzellen als auch für die Oligodendrogenese von entscheidender Rolle ist, mit dieser Promotoraktivierung korreliert. Diese Ergebnisse implizieren, dass Müllerzellen im Rahmen ihrer Stammzelleigenschaften in der Lage sind, auf embryonale Entwicklungsprozesse, die auch die oligodendrozytäre Zellreihe beinhalten, zurückgreifen zu können.

Die Dissertation befasst sich mit der Untersuchung der Ko-Expression des GFAP- und des PLP-Promotors in Müllerzellen der Netzhaut transgener Mäuse. Die verwendete Mauslinie ist tripel-transgen für den GFAP- und den PLP-Promotor sowie für einen ROSA26-Reporter. Durch die Quantifizierung der EYFP-Expression in Müllerzellen konnte gezeigt werden, dass es nach akuter ischämischer Schädigung sowie einer angeborenen retinalen Degeneration in Müllerzellen zu einer Aktivierung des oligodendrozytären PLP-Promotors kommt. Weiterhin wurde festgestellt, dass die Aktivierung des Transkriptionsfaktors Sox-9, der sowohl für die Entwicklung der Müllerzellen als auch für die Oligodendrogenese von entscheidender Rolle ist, mit dieser Promotoraktivierung korreliert. Diese Ergebnisse implizieren, dass Müllerzellen im Rahmen ihrer Stammzelleigenschaften in der Lage sind, auf embryonale Entwicklungsprozesse, die auch die oligodendrozytäre Zellreihe beinhalten, zurückgreifen zu können.:Inhaltsverzeichnis ....................................................................................................................... 3 Bibliographische Darstellung ..................................................................................................... 5 Abkürzungsverzeichnis und Erläuterungen ................................................................................ 6 1 Einleitung ............................................................................................................................ 8 1.1 Die Retina als Teil des Auges ................................................................................................. 8 1.1.1 Aufbau .............................................................................................................................. 8 1.2 Die gliale Müllerzelle ............................................................................................................ 12 1.2.1 Definition und Morphologie der Müllerzellen ............................................................... 12 1.2.2 Funktion .......................................................................................................................... 13 1.2.3 Ursprung und Ontogenese der Müllerzelle ..................................................................... 14 1.3 Erkrankungen der Netzhaut .................................................................................................. 15 1.3.1 Akute Läsionen ............................................................................................................... 15 1.3.2 Chronische Erkrankungen der Netzhaut ......................................................................... 15 1.3.3 Die Rolle der Müllerzelle in der erkrankten Retina ....................................................... 16 1.4 Mausgenetik .......................................................................................................................... 18 1.4.1 Das Cre-loxP-System ..................................................................................................... 18 1.5 Pax-6 und Sox-9: Transkriptionsfaktoren spezifizieren das Zellschicksal ........................... 24 1.5.1 Die PAX-Familie ............................................................................................................ 24 1.5.2 SOX-9-Gene ................................................................................................................... 25 2 Ziele .................................................................................................................................. 26 3 Material und Methoden ..................................................................................................... 27 3.1 Material ................................................................................................................................. 27 3.1.1 Chemikalien .................................................................................................................... 27 3.1.2 Antikörper ....................................................................................................................... 27 3.1.3 Größenstandards ............................................................................................................. 28 3.1.4 Mauslinien ...................................................................................................................... 29 3.1.5 Geräte ............................................................................................................................. 31 3.2 Methoden .............................................................................................................................. 31 3.2.1 Genotypisierung transgener Mäuse ................................................................................ 31 3.2.2 Akute retinale Läsion durch Anlegen eines erhöhten Augeninnendrucks („high intraocular pressure“, HIOP) .......................................................................................... 37 3.2.3 Herstellung und Fixierung der retinalen Gewebsproben ................................................ 37 3.2.4 Immunhistochemische Färbungen .................................................................................. 38 3.2.5 Mikroskopische Auswertung .......................................................................................... 39 3.2.6 Datenverarbeitung und Statistik ..................................................................................... 41 4 Ergebnisse ......................................................................................................................... 42 4.1 Technische Aspekte: Vergleich der Quantifizierung in Ganzpräparate und Querschnitte ... 42 4.1.1 Vergleich der Abbildungen ............................................................................................ 42 4.1.2 Auszählung Retina-Ganzpräparate ................................................................................. 43 4.1.3 Auszählung der Zellen in Querschnitten der Netzhaut ................................................... 45 4.1.4 Vergleich der Quantifizierung von Ganzpräparaten und Querschnitten ........................ 46 4.1.5 Quantifizierung ............................................................................................................... 48 4.2 Analyse der Reporterexpression in der Retina tripel-transgener Mäuse ............................... 49 4.2.1 Quantitative Auswertung GS-positiver Müllerzellen ..................................................... 49 4.2.2 Quantitative Auswertung EYFP-positiver Müllerzellen ................................................ 51 4.2.3 Auswertung des prozentualen Anteils der EYFP-positiven Müllerzellen ...................... 53 4.3 Auswertung der Transkriptionsfaktorexpression von Pax-6 und Sox-9 ............................... 56 4.3.1 Auswertung der Pax-6-positiven Müllerzellen ............................................................... 57 4.3.2 Auswertung der Sox-9-positiven Müllerzellen .............................................................. 60 5 Diskussion ......................................................................................................................... 63 5.1 Die GFAP-Expression in der Müllerzellgliose ..................................................................... 63 5.2 Auswertung und Vergleich der retinalen Ganzpräparate und Querschnitte ......................... 64 5.3 Die Untersuchung der Promotoraktivität nach retinaler Ischämie ........................................ 65 5.4 Die Untersuchung der Promotoraktivität bei angeborener retinaler Degeneration ............... 66 5.5 Die Rolle der Transkriptionsfaktoren Pax-6 und Sox-9 ........................................................ 68 5.5.1 Pax-6 ............................................................................................................................... 68 5.5.2 Sox-9 ............................................................................................................................... 69 5.6 Einordnung der Ergebnisse in die Zellbiologie der Müllerzelle ........................................... 72 6 Zusammenfassung ............................................................................................................. 74 7 Literaturverzeichnis .......................................................................................................... 77 8 Lebenslauf ......................................................................................................................... 83 9 Danksagung ....................................................................................................................... 84 10 Eigenständigkeitserklärung ............................................................................................... 85