Dead wood is one of the most important reservoirs associated with forest ecosystems. In natural forests, its volume is counted in hundreds of m3 ha-1 , whereas it reaches only tens of m3 ha-1 in productive commercial forests. In contrast to soil and plant litter, deadwood is unevenly distributed on the forest floor. The specific physicochemical properties such as high content of recalcitrant polymers, low nitrogen level and impermeability negatively affect the rate of decomposition especially in the initial stages of wood deconstruction. The deadwood decomposition is very slow in comparisons with other substrates, it accumulates and thus it represents the important reservoir of nutrients. This thesis is focused on the structure, development and function of microbial (fungal) community in decomposing deadwood in unmanaged forest. Functional screening of fungi isolated from fruit bodies collected from coarse deadwood was set aside. Physico-chemical properties of deadwood including pH, carbon and nitrogen content and microbial biomass were estimated for four wood decomposition stages and three different tree species. New generation sequencing (Illumina MiSeq platform) was applied for fungal community structure analysis based on ITS2 fragment. Fungal functional screening was based on physico-chemical...

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La digoxine est un cardiotonique largement employé pour contrôler les symptômes de l'insuffisance cardiaque et de la fibrillation auriculaire. Il est connu depuis les années 1980 que le métabolite principal de la digoxine, la dihydrodigoxine, est produit exclusivement par le microbiome intestinal (métabolisme de premier passage) et plus précisément la bactérie Eggerthella lenta. Aux États-Unis, c'est 14% des participants à une étude qui excrétaient 40% et plus de la dose sous la forme de ce métabolite rapidement éliminable et ayant perdu son affinité pour sa cible. De plus, chaque année, la digoxine est le médicament qui engendre le plus d'hospitalisations pour effets secondaires toxiques. Les effets secondaires très problématiques de la digoxine sont souvent déclenchés par l'ajout d'antibiotiques (surtout les macrolides) à la prescription de digoxine. La théorie explorée ici explique les évènements de toxicité chez les patients métabolisateurs. Ces derniers ont une dose quotidienne de maintien de digoxine plus élevée pour compenser l'action de la bactérie et, lorsque ces patients reçoivent un antibiotique pour une infection non reliée à leur condition cardiaque, l'arrêt du métabolisme par le microbiome engendre une augmentation de la biodisponibilité de la digoxine. Si la concentration plasmatique du médicament augmente trop, les effets secondaires peuvent aller jusqu'à causer la mort. Dans le présent projet, nous avons vérifié la sensibilité de E. lenta à deux antibiotiques de la famille des céphalosporines de seconde génération, in vivo et in vitro. Pour les 18 volontaires qui ont été exposés à 2x500mg de céfprozil durant une semaine, il y a une tendance à la baisse de l'abondance de la bactérie d'intérêt (par 58,3% par rapport au niveau initial), mais pas de significativité au niveau des tests statistiques. Pour les échantillons complets de microbiome fécal, mis en culture avec et sans antibiotiques, il y a une différence statistiquement significative avec une valeur-p de 0,0457, alors que la croissance de E. lenta a été impactée négativement par l'ajout de céfprozil au milieu de culture. Les résultats valident une prémisse importante pour la démonstration du rôle du microbiome dans la pharmacocinétique de la digoxine et la gestion clinique du médicament cardiotonique. / Digoxin is a widely used cardiotonic drug in the management of heart failure and atrial fibrillation. It has been known since the early 1980's that the main metabolite of digoxin, dihydrodigoxin, is synthesized by the gut microbiome during first pass metabolism and is exclusively produced by the bacteria Eggerthella lenta. In a clinical study done in the U.S.A., there were 14% of high metabolizers, for whom over 40% of the oral digoxin dose is transformed to the inactive metabolite and rapidly eliminated. Digoxin toxicity is the leading cause of hospitalization from medication's secondary effects. The toxicity events are often associated with the addition of an antibiotic (mostly from the macrolides class) to the patient's drugs regiments. The theory explored in this project could help explain the toxicity events in metabolizers. These patients have a higher daily digoxin maintenance dose to counteract the effects of the microbiome and are then prescribed antibiotics for an infection unrelated to their heart condition. The antibiotic alters E. lenta negatively, which cannot metabolize digoxin anymore and therefore augments the bioavailability of the cardiotonic. If the plasmatic concentration reaches dangerous levels (over 2ng/ml of plasma), the patients face adverse effects that include death. In the present project, we evaluated the susceptibility of E. lenta to two second generation cephalosporins, in vivo and in vitro. With the 18 healthy volunteers that were exposed to 2x500mg of cefprozil daily for 7 days, we observed a diminution of the abundance of the bacteria of interest by 58,3% from the initial levels. This change did not however produce statistically significant tests results. For the complete fecal microbiome that were cultivated in vitro, with or without cefprozil, the difference between the two conditions resulted in a statistically significant p-value of 0.0457, confirming the sensitivity of E. lenta to this cephalosporin. These results validate an important premise for the demonstration of the importance of the gut microbiome in the pharmacokinetics of digoxin and the clinical management of the drug to avoid toxicity events in clinical practice.

Adaptive population shifts in response to climate change Ing. Michaela Horníková, Doctoral thesis Abstract Understanding of species' reactions to past climate and environmental changes is a hot topic in many fields of biology as it is relevant also for addressing species' future under the contemporary climate change. Using an emerging model species, the bank vole, I combine genomic phylogeographic data with information on known intraspecific functional variability and environmental niche modelling and aim to elucidate the particular role of intraspecific variation and ultimately selection in shaping the species' response to the climatic and environmental changes after the end of the last glaciation. Based on the mtDNA markers, bank voles exhibit a complex phylogeographic pattern suggesting population replacement events during the postglacial recolonization of Europe and thus possible involvement of selection in the process. An extensive dataset of more than 6000 SNPs was used to search for signs of population replacement in the bank vole genomic DNA and to investigate the species' postglacial recolonization history throughout its European distribution range. The genomic data revealed even more complex population history than previously detected with mtDNA markers, including not only admixture but also...

The evolutionary origin and the phylogeny of higher metazoan taxa is still under debate although considerable progress has been made in the past 20 years. Metazoa represents a monophyletic group of highly diverse animals including Bilateria, Cnidaria, Porifera, Ctenophores, and Placozoa. Bilateria comprises the majority of metazoans and consists of three major clades: Deuterostomia, Spiralia (= Lophotrochozoa sensu lato), and Ecdysozoa, whereas the sister group taxa Spiralia and Ecdyzozoa form the monophyletic clade Protostomia. Molecular data have profoundly changed the view of the bilaterian tree of life. One of the main questions concerning bilaterian phylogeny is the on-going debate about the evolution of complexity in Bilateria. It was assumed that the last common ancestor of Deuterostomia, Ecdysozoa and Spiralia had a segmented and coelomate body organization resembling that of an annelid. On the contrary, the traditional view is the evolution of Bilateria from a simple body organization towards more complex forms, assuming that the last common ancestor of Bilateria resembles a platyhelminth-like animal without coelomic cavities and segmentation. To resolve this question, it is necessary to unravel the phylogenetic relationships within Bilateria. By using mitogenomic and phylogenomic data, this thesis had a major contribution to clarify phylogenetic relationships within problematic metazoan taxa: (1) the phylogeny of Deuterostomia, (2) the questionable monophyly of Platyzoa, and first assumptions concerning the phylogeny of Gnathostomulida, Gastrotricha and Polycladida, (3) phylogenetic relationships within annelid taxa, especially Terebelliformia, Diurodrilidae, and Syllidae, with new insights into the evolution of mitochondrial gene order, and (4) new insights into the evolution of annelids, especially the interstitial ones, as well as the colonization of the interstitial realm.

Indiana University-Purdue University Indianapolis (IUPUI) / Reliable detection of low-frequency single nucleotide variants (SNVs) carries great significance in many applications. In cancer genetics, the frequencies of somatic variants from tumor biopsies tend to be low due to contamination with normal tissue and tumor heterogeneity. Circulating tumor DNA monitoring also faces the challenge of detecting low-frequency variants due to the small percentage of tumor DNA in blood. Moreover, in population genetics, although pooled sequencing is cost-effective compared with individual sequencing, pooling dilutes the signals of variants from any individual. Detection of low frequency variants is difficult and can be cofounded by multiple sources of errors, especially next-generation sequencing artifacts. Existing methods are limited in sensitivity and mainly focus on frequencies around 5%; most fail to consider differential, context-specific sequencing artifacts. To face this challenge, we developed a computational and experimental framework, RareVar, to reliably identify low-frequency SNVs from high-throughput sequencing data. For optimized performance, RareVar utilized a supervised learning framework to model artifacts originated from different components of a specific sequencing pipeline. This is enabled by a customized, comprehensive benchmark data enriched with known low-frequency SNVs from the sequencing pipeline of interest. Genomic-context-specific sequencing error model was trained on the benchmark data to characterize the systematic sequencing artifacts, to derive the position-specific detection limit for sensitive low-frequency SNV detection. Further, a machine-learning algorithm utilized sequencing quality features to refine SNV candidates for higher specificity. RareVar outperformed existing approaches, especially at 0.5% to 5% frequency. We further explored the influence of statistical modeling on position specific error modeling and showed zero-inflated negative binomial as the best-performed statistical distribution. When replicating analyses on an Illumina MiSeq benchmark dataset, our method seamlessly adapted to technologies with different biochemistries. RareVar enables sensitive detection of low-frequency SNVs across different sequencing platforms and will facilitate research and clinical applications such as pooled sequencing, cancer early detection, prognostic assessment, metastatic monitoring, and relapses or acquired resistance identification.

Development of nanochemical tools targeting receptors in the tumor microenvironment Targeting the receptors in the tumor microenvironment is crucial for the future development of targeted therapies, precision medicine and immunotherapy of cancer. The options available now are, however, limited by the availability of specific ligands. The advances in the field strongly rely on the use of antibodies and genetic modifications of immune cells. Availability of small molecules targeting the receptors of interest would allow further development of alternative strategies as well as deepen our understanding of the underlying mechanisms of cancer development, progression and clearance. In the search for new small-molecule ligands and their use for receptor targeting, the prostate-specific membrane antigen (PSMA) and the immune receptors CD3 and CD64 were selected as model targets. The selected method - the phage display of bicyclic peptides - utilizes chemical modification of the displayed three-cysteine peptides to achieve their cyclization and formation of bicycles. The panning of a peptide library displayed on the phages and probed with PSMA revealed a reproducibly-selected amino acid sequence. Interestingly, the phage clone carrying this sequence was a specific binder of PSMA, but the synthesized peptide alone...

Proper eye development depends on expression and mutual regulation of many genes. Anterior segment dysgenesis (ASD) are a highly heterogeneous group of diseases exhibiting all types of Mendelian inheritance, which manifest as combination of congenital abnormalities of the cornea, iris, anterior chamber angle or lens. Screening of genes associated with ASD does not often lead to the identification of the underlying genetic cause implying that there are still novel variants or genes to be discovered. Molecular genetic analysis in 12 probands with ASD using Sanger and whole-exome sequencing were performed. Functional analysis by Exon trapping assay was provided in variants predicted to effect pre-mRNA splicing. Four PAX6 mutations evaluated as pathogenic or likely pathogenic in a heterozygous state were found in four probands c.183C˃G; p.(Tyr61*), c.1032+1G>A, c.1183+1G>T and c.622C>T; p.(Arg208Trp). One proband was found to be a compound heterozygote for c.244A>G; p.(Met82Val) and c.541delG; p.(Glu181Lysfs*26) mutations in FOXE3. In 7 probands, no potentially pathogenic variants were identified. Exon trapping assay confirmed that mutations c.1032+1G>A and c.1183+1G>T have an effect on pre-mRNA splicing of the PAX6 gene. Detailed molecular-genetic analysis in patients with ASD may contribute to...

Le microbiote intestinal est constitué d’un écosystème complexe de microorganismes appartenant à différents règnes. Cependant, la majorité de ces microorganismes sont d’origine bactérienne. Par conséquent, de nombreuses études, y compris la présente, se concentrent sur l’étude des communautés bactériennes. Les microorganismes ont développé une relation mutualiste avec le corps humain et agissent de plusieurs manières sur sa santé. Une perturbation du microbiote intestinal, nommée dysbiose, est reliée au développement d’une multitude de problèmes de santé chez diverses espèces animales. La transplantation de microbiote fécal suscite l’intérêt dans le domaine de la médecine vétérinaire. La préparation et l’entreposage affectent la composition et la viabilité bactérienne des fèces destinées à la transplantation de microbiote fécal (TMF). Jusqu’à présent, il demeure l’absence d’un protocole vétérinaire pour effectuer la préparation et l’entreposage des transplants fécaux canins. Par conséquent, l’objectif de cette étude était de comparer la viabilité bactérienne d’échantillons fécaux en présence et en absence d’oxygène et d’effectuer la congélation à l’aide de deux cryoprotecteurs différents. Les hypothèses de ce projet étaient les suivantes : la préparation des échantillons en absence d’oxygène préservera la viabilité bactérienne, l’utilisation d’un cryoprotecteur contenant des antioxydants pour la congélation générera le meilleur taux de viabilité, et le microbiote de chaque individu n’aura pas la même capacité à résister aux effets de la préparation et de l’entreposage. Les fèces de 10 chiens en santé ont été collectées et immédiatement transférées à l’intérieur d’une chambre anaérobique. Des aliquotes de 1,8 g ont été diluées dans 7,2 ml d’un cryoprotecteur contenant du glycérol à 10% (Gly) ou des antioxydants (Cryo). Les échantillons ont été homogénéisés et filtrés en condition aérobique (Ae) et en condition anaérobique (An) à l’intérieur d’une chambre anaérobique, simulant la préparation de la TMF. Les échantillons ont été congelés à -20 °C durant 90 jours (F) pour l’évaluation des effets de l’entreposage. La viabilité bactérienne des échantillons a été déterminée à l’aide de la cytométrie de flux. L’analyse de la composition bactérienne chez les 10 donneurs de matières fécales a été réalisée par le séquençage de la région V4 du gène de l’ARNr 16S à l’aide de la plateforme Illumina MiSeq. Les échantillons non congelés, préparés en absence d’oxygène et dilués avec Cryo présentaient les plus grands taux de viabilité (66,78 %) par rapport aux autres groupes (p < 0,05). Les échantillons exposés à l’oxygène avaient une viabilité bactérienne inférieure (p < 0,01). Toutefois, les échantillons dilués avec Cryo présentaient une viabilité plus élevée (65,26 %) que les échantillons dilués dans Gly (55,20 % ; p < 0,001) en présence d’oxygène. La viabilité bactérienne a diminué en raison de la congélation des échantillons (p < 0,001). L’ensemble des échantillons frais avaient une viabilité médiane de 62,23 % et, à la suite de la congélation, elle était de 22,68 %. Cependant, les échantillons congelés à l’aide de glycérol avaient une viabilité plus élevée (30,61 % ; p < 0,001). Le genre Prevotella était fortement corrélé à la viabilité (R = 0,731 ; p < 0,05, R = 0,756 ; p < 0,05, R = 0,834 ; p < 0,01, R = 0,752 ; p < 0,05). Ces résultats indiquent que la viabilité bactérienne est optimale lors de l’utilisation de matières fécales en absence d’oxygène et lors d’une dilution à l’aide d’un cryoprotecteur contenant des antioxydants. La congélation a significativement réduit la viabilité bactérienne, mais le glycérol semble mieux préserver les bactéries. La présence de certaines espèces plus résistantes et l’impact de la composition du microbiote sur l’efficacité de la TMF nécessitent une enquête plus approfondie. / The intestinal microbiota is made up of a complex ecosystem of microorganisms belonging to different kingdoms. However, bacterial cells are much more numerous. Therefore, many studies, including the present one, focus on the study of bacterial communities. Microorganisms have developed a mutualistic relationship with the animal body and act in several ways on its health. A disturbance of the intestinal microbiota, called dysbiosis, is linked to the development of a multitude of health problems in various animal species. There is an emerging interest in the transplantation of fecal microbiota in veterinary medicine. Preparation and storage affect the quality of transplants intended for faecal microbiota transplantation (FMT). Considering the absence of a protocol in veterinary medicine, the objective of this study was to optimize bacterial viability during the preparation and storage of canine fecal transplants. The hypotheses of this project were that the preparation of samples in the absence of oxygen will preserve bacterial viability, that the use of a cryoprotectant containing antioxidants for freezing will yield the best viability rate and the microbiota of individuals does not have the same ability to withstand the effects of preparation and storage. Feces from ten healthy dogs were collected, and immediately transferred inside an anaerobic chamber. Aliquots of 1.8 g were diluted in 7.2 ml of a cryoprotectant containing glycerol (Gly) or antioxidants (Cryo). The samples were homogenized and filtered, simulating the TMF preparation. To evaluate the impact of oxygen on bacterial viability, the procedures were performed outside (Ae) and inside (An) the anaerobic chamber. Samples were frozen at -20°C for 90 days (F) to evaluate effect of freezing. The bacterial viability of samples was determined using flow cytometry. Analysis of the bacterial composition was performed by sequencing the V4 region of the 16S rRNA gene, using the Illumina MiSeq platform. Fresh samples prepared under anaerobiosis and diluted with Cryo had the highest viability (66.78%) compared to the other groups (p < 0.05). Bacterial viability was affected by oxygen (p < 0.01) but solutions prepared with Cryo had higher viability (65.26%) than samples diluted in Gly (55.20%; p < 0.001). Freezing decreased bacterial viability from 62.23% to 22.68% (p < 0.001). However, samples frozen using glycerol showed higher viability (30.61%; p < 0.001). The genus Prevotella was strongly correlated with viability (R = 0.731; p < 0.05, R = 0.756; p < 0.05, R = 0.834; p < 0.01, R = 0.752; p < 0.05). These results show that bacterial viability is optimal when preparing feces under anaerobic conditions and using a cryoprotectant containing antioxidants. If freezing is necessary, glycerol seems to preserve the bacteria better. The presence of some more resilient species and the impact of microbiota composition on the efficacy of TMF requires further investigation.

« Myopathie héréditaire » est un terme générique pour les maladies génétiques rares caractérisées par une faiblesse musculaire et une hypotonie avec ou sans atrophie musculaire. Les personnes atteintes d'une forme légère peuvent présenter des contractures, une scoliose, une hyporéflexie ou des caractéristiques dysmorphiques, et les plus sévères peuvent être accompagnées de symptômes cardiaques ou respiratoires pouvant s'avérer mortel. Alors que les méthodes de séquençage de nouvelle génération basées sur l'ADN ont considérablement accéléré la découverte de gènes responsables de maladies rares, de nombreux patients demeurent sans diagnostiques génétiques. L'une des principales raisons de ce problème est le grand nombre de variants de signification inconnue identifiés, où l’impact biologique est peu ou pas connu. Ce mémoire de maîtrise contient trois projets distincts dont l'objectif global est d'augmenter le rendement diagnostique pour les patients atteints de myopathies héréditaires rares. La première étude porte sur trois frères et soeurs atteints d'une dystrophie musculaire non diagnostiquée. Une combinaison de techniques « omic » a été utilisée pour identifier un variant faux-sens dans le gène IARS accompagné d’un déséquilibre allélique spécifique aux tissus musculaires. L’inhibition de iars-1 chez le C. elegans a entraîné une désorganisation progressive du muscle de la paroi corporelle, mais sans perte significative de la motilité. Ainsi, nous avons conclu que iars-1 joue clairement un rôle dans l'organisation des myotubes. La pathogénicité du variant, cependant, nécessite une enquête plus approfondie. La deuxième étude porte sur une femme présentant une myopathie statique congénitale se manifestant par une faiblesse proximale et distale. En utilisant le séquençage de l’ARN, nous avons identifié pour la première fois un profil d'expression génique compatible avec une prédominance des fibres musculaires de type I, focussant l’intérêt sur un variant dans le gène RYR1. La troisième étude englobe une cohorte de vingt-huit patients porteurs de la même mutation RYR1, mais présentant une hétérogénéité clinique significative. Des modèles « knock-in » de C. elegans pour les études deux et trois ont démontrés des changements en transmission synaptique, la durée de vie, la taille corporelle et la locomotion. Ainsi, nous avons conclu que les deux variants identifiés dans RYR1 ont probablement également des conséquences cliniques chez les porteurs humains. En fin de compte, ces études mettent en évidence l'utilité du séquençage de l’ARN en tant qu'outil de diagnostic complémentaire, capable de restreindre la liste de candidats potentiellement pathogéniques, ainsi que le pouvoir du C. elegans en tant que modèles pour des tests rapides et coordonnés de variants candidats. / “Hereditary myopathies” is an umbrella term for rare inherited diseases characterized by muscle weakness and hypotonia with or without muscle atrophy. Individuals with a mild affliction may present with contractures, scoliosis, hyporeflexia or dysmorphic features, while those more severely affected may present cardiac or respiratory involvement that could prove deadly. While traditional DNA-based next-generation sequencing techniques have greatly accelerated discovery of genes causing rare diseases, many patients remain without a known genetic cause. The main reason for this diagnostic shortfall is the vast number of variants of unknown significance identified whose biological functions are unknown. This master’s thesis contains three separate projects with an overarching goal to increase the diagnostic yield of patients with rare hereditary myopathies. The first study focuses on three siblings with an undiagnosed muscular dystrophy. A combination of “omic” techniques were used to identify a missense variant as well as a muscle-specific allelic imbalance in the gene IARS leading to the exclusive expression of the mutant allele. Iars-1 knock-down in C. elegans resulted in progressive disorganization of the body wall muscle but with no significant loss of motility. Thus, we concluded that iars-1 likely plays a role in the organization of myotubes. The pathogenicity of the variant, however, requires further investigation. The second study involves a woman with a congenital static myopathy exhibited as proximal and distal weakness. Using RNA-sequencing, we identified for the first time a gene expression profile consistent with type I fiber predominance in the proband which guided the search for the causative RYR1 variant. The third study encompasses a cohort of twenty-eight patients who carry the same RYR1 mutation but display significant clinical heterogeneity. Knock-in models of C. elegans for both studies demonstrated altered synaptic transmission, lifespan, body size and locomotion. Thus, we concluded that both variants identified in RYR1 likely have consequences for human carriers as well. Ultimately, these studies highlight the utility of RNA-seq as a complimentary diagnostic tool capable of narrowing the search for novel pathogenic mutations as well as the value of C. elegans as models for rapid and coordinated testing of candidate variants.