From acid seeps and deep-sea thermal vents to glacial ice and hypersaline lakes, extreme environments contain relatively simplified communities consisting of extremophiles that have evolved to survive and thrive under adverse abiotic conditions. In more neutral environments, microorganisms use dormancy as a common life history strategy to weather temporal fluctuations of resources or stresses until more 'optimal' conditions are present. It is unclear if dormancy is an essential survival mechanism for microorganisms in extreme environments; however, recent studies suggest that extreme environments may create stable conditions for extremophiles to the extent that dormancy is of less ecological importance. Using lake salinity levels as measurements of "extreme," we evaluated the dormancy of bacterial and archaeal phyla and lake chemistry in five hypersaline and five freshwater lakes across the western United States. Dormancy was calculated using targeted metagenomics to analyze 16S rDNA and rRNA tag sequences. It was hypothesized that bacteria and archaea in hypersaline lake communities would exhibit lower levels dormancy than bacterial and archaeal communities in geologically similar freshwater lake controls. It was also hypothesized that microbial dormancy would decrease as the dominant extreme environmental variable increased in the lakes. As hypothesized, overall dormancy decreased at least 2-fold in hypersaline compared to freshwater lakes for both bacteria and archaea. Of the predominant phyla and subclasses, Firmicutes, Bacteroidetes, and Gammaproteobacteria each demonstrated at least a seven-fold decrease in dormancy in hypersaline lakes compared to freshwater lakes. Specifically, species within the genus Clostridium were responsible for 85% of the dormancy observed in the phylum Firmicutes. Also as hypothesized, microbial dormancy decreased as salinity increased in the lakes. Lower dormancy in hypersaline lakes correlated with increasing salinity while lower dormancy in freshwater lakes correlated with increasing total phosphorus levels. These results suggest that dormancy is a less common life history strategy for microorganisms in extreme environments; it is proposed that this is due to the relatively stable environment in hypersaline lakes and the reduced number of available microbial niches. These results also suggest that the dominant extreme stress (i.e., salinity) may override other driving factors in an environment to ultimately determine microbial community composition, diversity and richness.

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Altos fluxos positivos de metano para a atmosfera foram detectados na região amazônica. O gás metano é o segundo mais importante gás de efeito estufa e micro-organismos pertencentes ao Domínio Archaea são responsáveis pela produção de aproximadamente 70% do metano emitido para a atmosfera anualmente. O objetivo deste trabalho foi caracterizar a diversidade de arqueias em sedimentos dos rios Floresta e Madeira através de técnicas moleculares e do cultivo de arqueias metanogênicas. A maior parte das sequências obtidas nas duas bibliotecas pertence ao domínio Crenarchaeota, algumas com similaridade menor que 97% às sequências depositadas nos bancos de dados, revelando a existência de grupos ainda não descritos na literatura. Nos enriquecimentos do sedimento do rio Madeira detectaram-se células pertencentes às famílias Methanosarcinaceae e Methanobacteriaceae pelo emprego de sondas fluorescentes de RNA. Culturas dos gêneros Methanosarcina e Methanobacterium foram estabelecidas em laboratório. A grande diversidade de arqueias não cultivadas encontrada vem reforçar a necessidade de se estudar esse grupo, especialmente sua fisiologia e, consequentemente, seu papel ecológico nos diversos ambientes em que são encontrados. / High positive fluxes of methane to the atmosphere have been detected in the Amazonian region. Methane is the second most important greenhouse gas and microorganisms belonging to the Archaea domain are responsible for approximately 70% of the total methane emitted to the atmosphere annually. The objective of this work was to characterize the Archaea diversity in two sites at Madeira and Floresta rivers sediments using molecular techniques and the culturing of methanogenic archaea. Most sequences obtained in the libraries from both rivers belonged to the Crenarchaeota domain, and around half of them presented less than 97% of similarity to sequences available in databases, revealing the existence of new archaea groups yet to be described in the literature. Cells belonging to the Methanosarcinaceae and Methanobacteriaceae families were detected in the enrichment cultures from Madeira River through the use of RNA fluorescent probes. Strains of Methanosarcina sp. and Methanobacterium sp. are being maintained under laboratory conditions. The great diversity of uncultured Archaea found emphasizes the need to study this group, mainly its physiology and, consequently, its role in the diverse environments they occupy.

En 1977, Carl Woese sépare les procaryotes en deux grands groupes en proposant une nouvelle classification basée sur des critères phylogénétiques. Les Archaea deviennent ainsi un domaine à part entière aux cotés des Bacteria et des Eucarya. Depuis, la compréhension de ce nouveau groupe et de ses relations avec les deux autres domaines, essentielles pour comprendre l’évolution ancienne du vivant, est largement passée par l’étude de leur phylogénie. Presque 40 ans de recherche sur les archées ont permis de faire évoluer leur image : de bactéries vivant dans des milieux spécialisés, souvent extrêmes, on est passé à un domaine indépendant, très diversifié aussi bien génétiquement, métaboliquement ou encore écologiquement. Ces dernières années la barre symbolique de cent génomes complets d’archées séquencés a été franchie et, parallèlement, les projets génomiques et métagénomiques sur des groupes peu caractérisés ou de nouvelles lignées de haut rang taxonomique (e.g. Nanohaloarchaea, Thaumarchaeota, ARMAN, Aigarchaeota, groupe MGC, groupe II des Euryarchaeota, etc.) se sont multipliés. Tout ceci apporte un matériel sans précédent pour l’étude de l’histoire évolutive et de la diversité des Archaea. Les protéines ribosomiques ont été utilisées de façon courante pour inférer la position phylogénétique des nouvelles lignées d’Archaea. Néanmoins, les phylogénies résultantes ne sont pas complètement résolues, laissant des interrogations concernant d’importantes relations de parenté. La recherche de nouveaux marqueurs est donc cruciale et c’est dans ce contexte que mon projet de thèse s’inscrit. À partir de l’analyse des génomes de deux Thaumarchaeota et d’une Aigarchaeota, nous avons identifié 200 protéines conservées et bien représentées dans les différents phyla d’archées. Ces protéines sont impliquées dans de nombreux processus cellulaires, ce qui peut apporter un signal phylogénétique complémentaire à celui des marqueurs de type informationnel utilisés par le passé. En plus de confirmer la plupart des relations phylogénétiques inférées à partir de ces derniers (i.e., protéines ribosomiques et sous unités de l’ARN polymérase), l’analyse phylogénétique de ces nouveaux marqueurs apporte un signal permettant une meilleure résolution de la phylogénie des archées et la clarification de certaines relations jusqu’ici confuses. Un certain nombre de ces nouveaux marqueurs sont aussi présents chez les bactéries. Les relations entre les grands phyla d’archées restant encore non résolues, nous avons utilisé ces protéines pour essayer de placer la racine de l’arbre des Archaea en utilisant comme groupe extérieur les bactéries. Nous avons ainsi pu identifier 38 protéines, parmi les 200 sélectionnées précédemment, ayant un signal phylogénétique suffisamment fiable pour cette étude, auxquelles nous avons ajouté 32 protéines ribosomiques universelles. L’utilisation conjointe de ces données nous a permis de placer la racine entre les Euryarchaeota, d’une part, et un groupe rassemblant les Thaumarchaeota, les Aigarchaeota, les Korarchaeota et les Crenarchaeota, d’autre part. Ce nouvel éclairage sur l’évolution ancienne des archées nous a amené à proposer une révision de leur taxonomie avec, principalement, la création du nouveau phylum "Proteoarchaeota" contenant les quatre phyla actuels que nous proposons de rétrograder en classes : Thaumarchaea, Aigarchaea, Korarchaea et Crenarchaea.Finalement, l’analyse des protéines codées dans les trois génomes qui ont servi de point de départ de ma thèse nous a permis de générer une masse considérable de données qui ont révélé des traits particuliers ou encore des histoires évolutives inattendues. Un exemple est l’histoire du complexe formé par la chaperonne DnaK et de ses co-chaperonnes GrpE, DnaJ, et DnaJ-Fer chez les Thaumarchaeota, impliquant plusieurs transferts horizontaux entre les trois domaines du vivant. / In 1977, Carl Woese proposed a new classification of organisms based on phylogenetic criteria where he divided prokaryotes into two major groups. Thus, Archaea were defined as a new domain, together with Bacteria and Eucarya. Since then, the study of this group and its relationships with the two other domains, essential to understand the early evolution of Life, has been largely done through the investigation of its phylogeny. Almost 40 years of research on the archaea have led to a significant evolution of the knowledge on this group: from considering them as bacteria living in specialized environments, most often extreme ones, to defining them as an independent domain, highly diversified in genetic, metabolic and ecological terms. During the last years, the symbolic barrier of 100 complete archaeal genome sequences has been reached and, simultaneously, many genome projects from poorly-known groups or new high-rank lineages (e.g., Nanohaloarchaea, Thaumarchaeota, ARMAN, Aigarchaeota, MGC, group II Euryarchaeota, etc.) have been launched. All this provides unprecedented information to study the evolutionary history of Archaea. Ribosomal proteins have been used recurrently to infer the phylogenetic position of new archaeal lineages. Nevertheless, the resulting phylogenies are not fully resolved and several important nodes remain uncertain. The identification of new phylogenetic markers is therefore crucial. This represents the framework of my PhD thesis project. On the basis of the analysis of the genome sequences of two Thaumarchaeota and one Aigarchaeota, we have identified 200 conserved proteins well represented among the different archaeal phyla. These proteins are involved in a number of cellular functions, thus providing a phylogenetic signal complementary to the one obtained from the informational proteins (i.e., ribosomal proteins and RNA polymerase subunits). The phylogenetic analysis of these new markers has led to a better resolution of the archaeal phylogeny, including several relationships that remained unclear. Several of the new markers are also present in bacteria. Since the relationships among the different archaeal phyla are not yet resolved, we have used those markers to try to place the root of the archaeal phylogeny using the bacterial sequences as outgroup. We have identified 38 proteins among the 200 detected before containing a phylogenetic signal useful for that purpose, to which we have added 32 universal ribosomal proteins. The use of this complete dataset allowed us locating the root between the Euryarchaeota and a large group joining the Thaumarchaeota, Aigarchaeota, Korarchaeota and Crenarchaeota. This new result on the ancient evolutionary history of Archaea has led us to propose a taxonomic revision for this domain, in particular the erection of a new phylum "Proteoarchaeota", containing the current four phyla that we propose to retrograde into classes (Thaumarchaeales, Aigarchaeales, Korarchaeales and Crenarchaeales). Finally, the analysis of the proteins encoded by the three reference genomes at the origin of this work has generated a large amount of data, which reveals particular traits in certain organisms or unexpected evolutionary histories. One example concerns the evolution in Thaumarchaeota of the protein complex composed of the DnaK chaperon and its co-chaperons GrpE, DnaJ, and DnaJ-Fer, which involves several horizontal gene transfer events among the three domains of Life.