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1. Microbial ecology According to Caumette et al. (2015) the term ecology is derived from the Greek words “oikos” (the house and its operation) and “logos” (the word, knowledge or discourse) and can, therefore, be defined as the scientific field engaged in the “knowledge of the laws governing the house”. This, in extension, results in the simple conclusion that microbial ecology represents the study of the relationship between microorganisms, their co-occurring biota and the prevailing environmental conditions (Caumette et al. 2015). The term microbial ecology has been in use since the early 1960s (Caumette et al. 2015) and microbial ecologists have made astonishing discoveries since. Microbial life at extremes such as in the hydrothermal vents (see Dubilier et al. 2008 and references therein) or the abundance of picophytoplankton (Waterbury et al. 1979; Chisholm et al. 1988) in the deep and surface waters of the oceans, respectively, are only a few of many highlights. Nevertheless, a microbial ecologist who, after leaving the field early in their career, now intends to return would hardly recognise again their former scientific field. The main reason for this hypothesis is to be found in the advances made to the methodologies employed in the field. Most of these were developed for biomedical research and were subsequently hijacked, sometimes followed by minor modifications, by microbial ecologists. The Author presents in this thesis scientific findings which, although spanning only a fraction of the era of research into microbial ecology, have been obtained using various modern tools of the trade. These studies were undertaken by the Author during his employment as postdoctoral scientist at Warwick University (UK), as member of staff at Plymouth Marine Laboratory (UK) and as scientist at the TU Bergakademie Freiberg. Although the scientific issues and the environmental habitats investigated by the Author changed due to funding constraints or due to change of work place (i.e. from the marine to the mining environment) the research shared, by and large, a common aim: to further the existing understanding of microbial communities. The methodological approach chosen to achieve this aim employed both isolation followed by the characterisation of microorganisms and culture independent techniques. Both of these strategies utilised again a variety of methods, but techniques in molecular biology represent a common theme. In particular, the polymerase chain reaction (PCR) formed the work horse for much of the research since it has been routinely used for the amplification of a marker gene for strain identification or analysis of the microbial diversity. To achieve this, the amplicons were either directly sequenced by the Sanger approach or analysed via the application of genetic fingerprint techniques or through Sanger sequencing of individual amplicons cloned into a heterologous host. However, the Author did not remain at idle while with these ‘classical’ approaches for the analysis of microbial communities, but utilised the advances made in the development of nucleotide sequence analysis. In particular, the highly parallelised sequencing techniques (e.g. 454 pyrosequencing, Illumina sequencing) offered the chance to obtain both high genetic resolution of the microbial diversity present in a sample and identification of many individuals through sequence comparison with appropriate sequence repositories. Moreover, these next generation sequencing (NGS) techniques also provided a cost-effective opportunity to extent the characterisation of microbial strains to non-clonal cultures and to even complex microbial assemblages (metagenomics). The work involving the high throughput sequencing techniques has been undertaken in collaboration with Dr Jack Gilbert (PML, lateron at Argonne National Laboratory, USA) and, since at Freiberg, with Dr Anja Poehlein (Goettingen University). These colleagues are thanked for their support with sequence data handling and analyses.

Résumé indisponible / The objective of this thesis focuses on the study and the development of bioinformatics platforms and tools on the grid. The second objective is to develop applications in molecular epidemiology and metagenomics based on these tools and platforms. Based on the studies of existing bioinformatics platforms and tools, we propose our solution: a platform and a portal for molecular epidemiology and high throughput metagenomics on the grid. The main idea of ​​our platform is to simplify the submission of jobs to the grid via the pilots jobs (jobs generic that can control and launch many real tasks) and the PULL model (tasks are retrieved and executed automatically). There are other platforms that have similar approaches but our platform focuses on the simplicity and the saving time for the submission of jobs. Bioinformatics tools chosen to deploy the platform are popular tools that can be used in many bioinformatics analyses. We apply a workflow engine in the platform so that users can make the analysis easier. Our platform can be seen as a generalized system that can be applied to both the epidemiological surveillance and metagenomics of which two use cases are deployed and tested on the grid. The first use case is used to monitor bird flu. The approach of this application is to federate data sequences of influenza viruses and provide a portal with tools on the grid to analyze these data. The second use case is used to apply the power of the grid in the analysis of high throughput sequencing of amplicon sequences. In this case, we prove the efficiency of the grid by using our platform to gridifier an existing application, which has much less performance than the gridified version.

Soils contain highly diverse consortia of bacteria making them very attractive starting points for both culture-dependent and metagenomic discovery efforts. The present diploma thesis analyses the composition of the microbial community from pharmaceutically polluted soil, with the employment of next-generation Illumina sequencing of 16S rDNA region. This analysis revealed high complexity of the soil microbial environment and confirmed that anthropogenic activity (represented by production of beta- lactam antibiotics) influences the variability and abundance of the species, yet without reducing the microbial diversity. In the second part of the thesis, isolation and heterologous expression of a novel gene encoding alpha-amino acid ester hydrolase (AEH) from a cultivable soil microorganism B. cereus is described. AEHs possess industrial potential for biocatalytic synthesis of semi-synthetic beta-lactam antibiotics, which are presently of great clinical importance. Powered by TCPDF (www.tcpdf.org)

Os vírus são as entidades biológicas mais abundantes encontradas na natureza. O método clássico de estudo dos vírus requerem seu isolamento e propagação in vitro. Contudo, necessita-se ter um conhecimento prévio sobre as condições necessárias para seu cultivo em células, sendo assim a maior parte dos vírus existentes não é conhecida. Análises metagenômicas são uma alternativa para a detecção e caracterização de novos vírus, uma vez que não requerem um cultivo prévio e as amostras podem conter material genético de múltiplos organismos. Uma vez obtidas as sequências montadas a partir das leituras metagenômicas, o método mais utilizado para a identificação e classificação dos organismos é a busca de similaridade com o programa BLAST contra bancos de sequências conhecidas. Contudo, métodos de alinhamento pareado são capazes de identificar apenas sequências com identidade superior a 20-30%. Uma alternativa a essa limitação é o uso de métodos baseados no uso de perfis, que podem aumentar a sensibilidade de detecção de homólogos filogeneticamente distantes. HMMs de perfil são modelos probabilísticos capazes de representar a diversidade de caracteres em posições-específicas de um alinhamento de múltiplas sequências. Nosso grupo desenvolveu a ferramenta TABAJARA, utilizada neste projeto, para a identificação de blocos que podem ser conservados em todas as sequências do alinhamento ou discriminativos entre grupos de sequências. Esses blocos são utilizados para a geração de HMMs de perfil, os quais podem ser usados, no contexto da virologia, para a identificação de grupos taxonômicos amplos como famílias virais ou, ainda, taxa mais restritos como gêneros ou mesmo espécies de vírus. O presente projeto teve como objetivos aplicar e otimizar o programa TABAJARA em diferentes grupos taxonômicos de vírus, construir modelos específicos para cada um desses grupos e validar esses modelos em dados metagenômicos. O primeiro modelo de estudo escolhido foi a ordem Bunyavirales, composta de vírus de ssRNA (-) majoritariamente envelopados e esféricos, com genoma segmentado e pertencentes ao grupo 5 da classificação de Baltimore. Este grupo inclui vírus causadores de várias doenças em humanos, animais e plantas. O segundo modelo de estudo escolhido foi a família Togaviridae, composta de vírus de ssRNA (+) envelopados e esféricos, cujo genoma expressa uma poliproteína e pertencem ao grupo 4 da classificação de Baltimore. Este grupo inclui o vírus Chikungunya e outras espécies que causam diversas patologias ao homem. O terceiro modelo de estudo escolhido foi a subfamília Spounavirinae, compreendendo bacteriófagos que infectam vários hospedeiros bacterianos e em alguns casos possuem potencial terapêutico comprovado contra infecções bacterianas que afetam o homem. Estes fagos apresentam partículas virais com estrutura cabeça-cauda, não são envelopados, apresentam genoma de dsDNA e pertencem ao grupo 1 da classificação de Baltimore. Todos os modelos construídos foram validados quanto à sensibilidade e especificidade de detecção e, ao final, foram utilizados em análises de prospecção de vírus em dados metagenômicos obtidos na base SRA do NCBI. Os HMMs de perfil apresentaram excelente desempenho, comprovando a viabilidade da metodologia proposta neste projeto. Os resultados apresentados neste trabalho abrem a perspectiva da ampla utilização de HMMs de perfil como ferramentas universais para a detecção e classificação de vírus em dados metagenômicos. / Viruses are the most widely biological entities found in nature. Most of the information that can be obtained from these organisms requires viral in vitro isolation and cultivation. However, most of the existing viruses are still unknown because the biological requirements for their successful propagation have not been identified so far. Metagenomic analyses offer an interesting alternative for the detection and characterization of novel viruses, since previous cultivation is not required, and the samples may contain genetic material of multiple organisms. Once assembled sequences are obtained from individual reads, the most widely used method for viral identification and classification is the use of BLAST similarity searches against databases of known sequences. However, pairwise alignment methods are only able to identify sequences that present identity greater than 20-30%. Profile-based methods may increase the sensitivity of detection of remote homologues. Profile HMMs are probabilistic models capable of representing the diversity of amino acid residues at specific positions of a multiple sequence alignment. Our group is developing TABAJARA, a tool for the identification of alignment blocks that are conserved across all sequences of the alignment or discriminative between groups of sequences. These blocks are used to generate profile HMMs, which can in turn be used, in the context of virology, to identify broad taxonomic groups, such as viral families, or narrower taxa as genera or viral species. The present project aimed to apply and standardize the use of TABAJARA in different taxonomic groups of viruses, to build specific models for each of these groups and to validate these models in metagenomic data. We used three viral models for this study. The first chosen model was the Bunyavirales order, composed of mostly enveloped and spherical ssRNA(-) viruses with a segmented genome belonging to group 5 of the Baltimore classification. This group includes viruses that cause several important diseases in humans, animals and plants. The second chosen model was the Togaviridae family, composed of enveloped and spherical ssRNA(+) viruses, with a genome coding for a polyprotein, and belonging to group 4 of the Baltimore classification. This group includes the Chikungunya virus and some other viral species that cause relevant pathologies to humans and animals. Finally, we used the Spounavirinae subfamily, comprising viruses that infect a variety of bacterial hosts and that can potentially be used for phage therapy of some human bacterial diseases. These phages present non-enveloped virions with a head-to-tail structure, a dsDNA genome, and belong to group 1 of the Baltimore classification. All constructed profile HMMs were evaluated in regard to their sensitivity and specificity of detection, as well as tested in viral surveys using metagenomic data from the SRA database. The profile HMMs presented excellent performance, proving the viability of the methodology proposed in this project. The results presented in this work open the perspective of the wide use of profile HMMs as universal tools for the detection and classification of viruses in metagenomic data.

O Rio Tietê e o rio mais importante do Estado de São Paulo e um dois mais poluídos do Brasil. No seu percurso ele recebe altas concentrações de poluentes orgânicos e industriais que podem alterar as comunidades microbianas autóctones. Uma análise dos perfis metagenômicos realizada em pontos do Rio Tietê com diferentes qualidades de água, permitiu observar a influencia dos parâmetros ambientais na composição e funcionamento das comunidades microbianas presentes no rio. Locais eutróficos mostraram prevalência de micro-organismos e funções associadas à heterotrofia. Em contrapartida, nos locais oligotróficos foram detectadas comunidades microbianas e funções relacionadas a metabolismos autótrofos e litótrofos. Foi visto também que as pressões ambientais podem promover a aquisição, por parte dos micro-organimos, de características que lhes permitam sobreviver às condições ambientais adversas, como a tolerância a metais tóxicos. / The Tietê River is the most important river of the State of São Paulo, in the southeastern of Brazil; it is also one of the most contaminated rivers of the country. On its watercourse, the river receives large amounts of anthropogenic and industrial pollutants that can alter the environmental conditions of the water, leading to possible shifts in the microbial diversity. Metagenomic profiles of river locations with different water qualities showed taxonomic and functional differences related to the sampling site and water quality. Eutrophic sites showed prevalence of microorganisms and functions associated with heterotrophy, in contrast, in oligotrophic sites were detected microbial communities and functions related to autotrophic and litotrophic metabolisms. Also was observed, that environmental pressures can promote the acquisition of characteristics that allow the local microorganism to survive to adverse environmental conditions, such as tolerance to toxic metals.

O estudo da diversidade viral em amostras ambientais tem se tornado cada vez mais importante devido a funções-chave desempenhadas por esses organismos. Estudos recentes têm fornecido evidências de que vírus de bactérias (bacteriófagos) podem ser os principais determinantes em ciclos biogeoquímicos de grandes ecossistemas, além de atuarem no fluxo de genes entre comunidades ambientais e na plasticidade funcional das mesmas frente a estresses ambientais. Neste trabalho, propomos a investigação e caracterização da diversidade viral presente em amostras de compostagem através de abordagens não dependentes e dependentes de cultivo. Na primeira abordagem, coletamos amostras seriadas de uma unidade de compostagem do zoológico de São Paulo para realização de sequenciamento metagenômico. O conjunto de sequências gerado foi extensivamente minerado (data-mining) para a produção de resultados de diversidade e abundância de táxons virais ao longo do processo de compostagem. Adicionalmente, procedemos com a montagem e recuperação de sequências virais candidatas a genomas completos e/ou parciais de novos vírus ambientais. Os dois protocolos computacionais utilizados para a mineração de dados encontram-se definidos e automatizados, podendo ser aplicados em quaisquer conjuntos de dados de sequenciamento metagenômico ou metatranscritômico obtidos através da plataforma Illumina. A segunda abordagem correspondeu ao isolamento e caracterização de novos fagos de Pseudomonas obtidos de amostras de compostagem. Três novos fagos foram identificados e tiveram os seus genomas sequenciados. A caracterização genômica desses fagos revelou genomas com alto grau de novidade, insights sobre a evolução de Caudovirales e a presença de genes de tRNA, cuja função pode estar relacionada com um mecanismo dos fagos para contornar o viés traducional apresentado pela bactéria hospedeira. A caracterização experimental dos novos fagos isolados demonstrou grande potencial para lise e dissolução de biofilme da cepa Pseudomonas aeruginosa PA14, conhecida como agente causador de infecções hospitalares em pacientes imunodeprimidos. Em suma, os dados reunidos nesta dissertação caracterizam a diversidade presente no viroma da compostagem e contribuem para o entendimento dos perfis taxonômico, funcional e ecológico do processo. / The study of the viral diversity in environmental samples has become increasingly important due to key-roles that are performed by these organisms in our ecosystems. Recent publications provide evidence that viruses of bacteria (bacteriophages) may be key-players in biogeochemical cycles of large ecosystems, as oceans and forests. Besides, they may also be determinant in the genes flux among populations and in the plasticity of the communities face to environmental stresses. In this work, we propose the investigation and characterization of the viral diversity in composting samples through non-culturable and culturable-dependent approaches. In the first approach, we sampled a composting unit from the Sao Paulo Zoo Park in different time points and proceeded with metagenomic sequencing. The dataset generated was extensively mined to provide results of diversity and abundance of viral taxa through the composting process. Additionally, we proceeded with the assembly and retrieval of candidate sequences to partial or/and complete viral genomes. The two computational protocols were automatized as pipelines and can be applied to any metagenomic dataset of illumina reads. The second approach refers to the isolation and characterization of new Pseudomonas phages obtained from composting samples. Three new phages were identified and their genomes were sequenced. A detailed characterization of these genomes revealed high degree of novelty, insights about evolution of tailed-phages and the presence of tRNA genes, which may be related to a mechanism to bypass host translational bias. The experimental characterization of the new phages demonstrated great potential to lyse bacterial cells and to degrade Pseudomonas aeruginosa PA14 biofilms. In short, the data presented in this dissertation shed light to the composting virome diversity, as well as to the functional and ecological profiles of viruses in the composting environment.

Les systèmes hydrothermaux associés à la serpentinisation sont anoxiques et riches en $H_2$, $CH_4$ et molécules organiques. Ces composants alimentent des micro-organismes qui colonisent les systèmes serpentinisés, et ce en dépit d’un pH élevé et de faibles concentrations en accepteurs d'électrons et en carbone dissous. Dans ce travail, les communautés microbiennes ont été étudiées en se focalisant sur Prony, un écosystème serpentinisé côtier de Nouvelle-Calédonie, puis, en comparant différents écosystèmes serpentinisés, pour faire émerger des similarités taxonomiques et fonctionnelles. À Prony, nos analyses de métabarcoding ont mis en évidence l'importance d’une biosphère rare. L'analyse de métagénomes a permis de reconstruire 82 génomes procaryotes. Un de ces génomes est phylogénétiquement proche des espèces du genre Serpentinomonas, bactéries chimiolithotrophes isolées du site serpentinisé The Cedars, qui détiennent le record d’alcalophilie. Ces espèces et d'autres phylotypes, tels que les taxons affiliés aux Lost City Methanosarcinales, ont été trouvés dans plusieurs sites serpentinisés et pourraient contribuer à la définition d'une signature biologique des phénomènes de serpentinisation. En ciblant spécifiquement les métabolismes enrichis dans les milieux serpentinisés, nous avons pu mettre en évidence l'importance du métabolisme de l'hydrogène, des mécanismes cellulaires de réponse aux stress et d’une voie de dégradation des phosphonates, reposant sur l’activité d'une C-P lyase. Cette voie métabolique, qui a un rôle clé dans l'assimilation du phosphore et la libération de molécules organiques, vient enrichir les modèles écologiques des systèmes serpentinisés. / Serpentinizing hydrothermal systems are anoxic and enriched in $H_2$, $CH_4$ and organic molecules. These compounds support microbes that colonize serpentinizing systems, despite high pH and low concentrations of electron acceptors and dissolved inorganic carbon. In this work, two axes were explored to study the microbial communities. On the one hand, we focused on Prony, a coastal serpentinizing site in New Caledonia, and on the other hand we compared different serpentinizing systems to reveal taxonomic and functional similarities. At Prony, our metabarcoding analyses highlighted the importance of the rare biosphere. Moreover, 82 prokaryotic genomes were successfully reconstructed using five metagenomes from Prony. One of these genomes was phylogenetically close to the species of the genus Serpentinomonas, chemolithotrophic bacteria isolated at the serpentinizing site The Cedars that are capable of growth up to pH 12.5. These species, and other phylotypes, such as taxa affiliated with Lost City Methanosarcinales were identified in several serpentinizing sites and could contribute to the definition of a biological signature associated with serpentinization. By specifically targeting enriched metabolisms in serpentinizing environments, we highlighted key functions associated with hydrogen metabolism and environmental stress response mechanisms. The comparison of serpentinizing metagenomes revealed the importance of a phosphonate degradative pathway, based on the activity of a C-P lyase. This metabolic pathway, which plays a key role in the uptake of phosphorus and the release of organic molecules, was integrated into the ecological models of serpentinizing systems.

Le microbiote intestinal joue un rôle primordial dans l’homéostasie du tractus gastro-intestinal, et plus généralement dans celle de son hôte. A ce titre, de nombreuses pathologies humaines sont associées à une dysbiose de ce microbiote intestinal, tels que les cancers colorectaux, les maladies inflammatoires chroniques de l’intestin (MICI), les troubles du métabolisme ou encore les maladies auto-immunes. Ces pathologies ont une étiologie mal connue et multifactorielle dans laquelle l’environnement semble jouer un rôle clé. Des études récentes ont ainsi mis en évidence un lien entre la pollution atmosphérique et des pathologies humaines telles que les MICI. Parmi les différentes substances polluantes répertoriées, le benzo[a]pyrène (BaP), qui fait partie de la famille des hydrocarbures aromatiques polycycliques, est soumis à une surveillance accrue en raison de ses effets toxiques sur la santé humaine. De par ses propriétés pro-inflammatoires et mutagènes, le BaP pourrait modifier la composition du microbiote intestinal, induisant alors à une réponse inflammatoire et à une altération des fonctions intestinales. Dans le cadre de ce travail de thèse, une surexposition orale et chronique au BaP en modèle murin a conduit à une inflammation modérée principalement au niveau de la muqueuse iléale. L’analyse des amplicons du gène codant l’ARNr 16S a mis en évidence des modifications de la composition et de l’abondance relative des communautés bactériennes fécales et associées à la muqueuse intestinale avec notamment une augmentation et une diminution des taxa pro et anti-inflammatoires respectivement. Ainsi, dans des conditions de susceptibilité génétique et/ou en association avec d’autres facteurs environnementaux, l’exposition à ce polluant pourrait déclencher et/ou accélérer le développement de pathologies inflammatoires. L’identification des potentialités métaboliques des différentes populations bactériennes caractérisées précédemment et impactées par le polluant revêt donc un caractère primordial. La reconstruction de génomes directement à partir de l’écosystème microbien peut permettre d’établir ce lien entre structure et fonction. C’est également dans ce contexte, qu’une approche innovante de capture de gènes en solution a été développée. En effet, cette technique d’enrichissement permet de reconstruire de larges portions génomiques pouvant relier un biomarqueur phylogénétique à des gènes fonctionnels, y compris pour des populations bactériennes présentes en très faible abondance dans l’écosystème. / Gut microbiota plays a primordial role in gastro-intestinal tract and host homeostasis. Numerous pathologies are associated with a gut microbiota dysbioses, such as colorectal cancer, inflammatory bowel diseases (IBD), metabolism disorders or autoimmune diseases. The physiopathology of these diseases has multifactorial aetiology in which environmental factors seem to play a crucial role. Recent evidences have highlighted a link between air pollution and human diseases such as IBD. Among the different pollutant listed, benzo[a]pyrene (BaP), which belong to the family of polycyclic aromatic hydrocarbons, is subject to an increase surveillance due to its toxic effects on human health. By its pro-inflammatory and mutagenic proprieties, BaP could lead to modifications of gut microbiota composition, then inducing an inflammatory response and an alteration of intestinal functions. As part of this thesis, BaP subchronic oral exposure in murine model has led to a moderate inflammation mostly in ileal mucosa. The analysis of ARNr 16S amplicons has highlighted composition and abundance alterations of faecal and mucosa-associated microbiota, especially with increase and decrease of pro and anti- inflammatory taxa respectively. Thus, under conditions of genetic susceptibility and/or in association with other environmental factors, exposure to this pollutant could trigger and/or accelerate the development of inflammatory pathologies. Metabolic potential identification of different bacterial populations previously characterized and affected by the pollutant appears therefore primordial. Genome reconstruction directly from microbial ecosystem could allow to establish this link between structure and function. Also in this context, an innovative approach of gene capture in solution was developed. Indeed, this enrichment technique allows to reconstruct large genomic portions that could link phylogenetic biomarker and functional genes, including for bacterial populations present at very low abundance in the ecosystem.

There has been tremendous advancement in sequencing technologies; the rate at which sequencing data can be generated has increased multifold while the cost of sequencing continues on a downward descent. Sequencing data provide novel insights into the ecological environment of microbes as well as human health and disease status but challenge investigators with a variety of computational issues. This thesis focuses on three common problems in the analysis of high-throughput data. The goals of the first project are to (1) develop a statistical framework and a complete software pipeline for metagenomics that identifies microbes to the strain level and thus facilitating a personalized drug treatment targeting the strain; and (2) estimate the relative content of microbes in a sample as accurately and as quickly as possible. The second project focuses on the analysis of the microbiome variation across multiple samples. Studying the variation of microbiomes under different conditions within an organism or environment is the key to diagnosing diseases and providing personalized treatments. The goals are to (1) identify various statistical diversity measures; (2) develop confidence regions for the relative abundance estimates; (3) perform multi-dimensional and differential expression analysis; and (4) develop a complete pipeline for multi-sample microbiome analysis. The third project is focused on batch effect analysis. When analyzing high dimensional data, non-biological experimental variation or “batch effects” confound the true associations between the conditions of interest and the outcome variable. Batch effects exist even after normalization. Hence, unless the batch effects are identified and corrected, any attempts for downstream analyses, will likely be error prone and may lead to false positive results. The goals are to (1) analyze the effect of correlation of the batch adjusted data and develop new techniques to account for correlation in two step hypothesis testing approach; (2) develop a software pipeline to identify whether batch effects are present in the data and adjust for batch effects in a suitable way. In summary, we developed software pipelines called PathoScope, PathoStat and BatchQC as part of these projects and validated our techniques using simulation and real data sets.