Les maladies à transmission vectorielle sont dues à des agents pathogènes transmis par des arthropodes hématophages. Ces vecteurs assurent une transmission active (mécanique ou biologique) d’un agent infectieux d’un vertébré vers un autre vertébré. A l’échelle mondiale, les tiques sont responsables de la transmission de la plus grande variété d’agents pathogènes, elles transmettent des microorganismes responsables de maladies bactériennes (borréliose de Lyme, rickettsioses) ou parasitaires (babésioses, theilérioses), ou même virales (encéphalite à tiques).Les Antilles se situent au cœur de la zone Néotropicale des Caraïbes, et constituent une zone à risque pour l’émergence de maladies vectorielles en raison des conditions climatiques favorables aux vecteurs et des échanges intercontinentaux importants (flux illégal d’animaux, oiseaux migrateurs,…). La situation épidémiologique de la zone Caraïbe vis-à-vis des maladies transmises par les tiques est très peu documentée. Les études menées sur le terrain portent essentiellement sur des agents pathogènes affectant les animaux comme Ehrlichia ruminantium, Babesia (bovis et bigemina) et Anaplasma marginale et sont donc loin de pouvoir répondre aux questions concernant le risque d’émergence ou de réémergence de maladies à tique. Ainsi, il est nécessaire et urgent de développer des outils efficaces de surveillance épidémiologique qui permettraient la détection des agents pathogènes, nouveaux, connus ou non suspectés présents dans les tiques. C’est dans ce contexte d’amélioration des performances de veille sanitaire des maladies à tiques dans les Caraïbes que prend place le projet de thèse. La visée de la thèse était de faire un état des lieux des agents pathogènes d’intérêt médical et vétérinaire présents dans les tiques caribéennes à l’aide de techniques de détection à haut débit. Pour cela nous avons d’abord réalisé un séquençage à haut débit d’ARN extraits de tiques collectées en Guadeloupe et en Martinique afin de réaliser un inventaire sans a priori des agents pathogènes (bactéries, parasites, et virus) présents. Cette analyse a permis de mettre en évidence une grande diversité en microorganismes pathogènes au sein de nos échantillons, révélant également la présence de quatre virus appartenant à de nouveaux genres viraux récemment décrits et associés aux arthropodes. Les informations obtenues via le séquençage, additionnées aux données disponibles dans la littérature ont permis de constituer ainsi une liste des agents pathogènes transmis par les tiques nécessitant une surveillance sanitaire dans les caraïbes. A partir de ce répertoire nous avons développé un système de dépistage à haut-débit d’agents infectieux applicable à toute la zone des caraïbes. L’outil de détection est un support microfluidique de type puce à ADN, basé sur la technologie BioMarkTM dynamic arrays (Fluidigm Corporation) qui permet de réaliser de la PCR en temps réel à haut débit afin de détecter simultanément 48 à 96 cibles au sein de 48 à 96 échantillons. Deux puces ont été développées, une première pour le suivi des bactéries et parasites, et une deuxième pour le suivi des virus. Leur performance a été testée sur des échantillons de tiques collectées en Guadeloupe et en Martinique. Ce dépistage à grande échelle a donné un aperçu complet de la situation épidémiologique de 45 bactéries, 17 parasites and 31 virus potentiellement transmis par les tiques dans les Antilles Françaises. La méthode de surveillance développée durant cette thèse représente une amélioration majeure des techniques de veille épidémiologique, permettant la détection rapide et concomitante d’un large panel d’agent pathogène. Elle sera prochainement appliquée au criblage à haut débit des agents infectieux présent dans des tiques collectées à travers la Caraïbe, provenant notamment de Trinité-et-Tobago, Saint-Kitts, la Barbade, et Sainte-Lucie, grâce à la collaboration du réseau CaribVet, et de vétérinaires locaux / Vector-borne diseases are illnesses caused by pathogens transmitted by haematophagous arthropods which provide active transmission (mechanical or biological) of infectious agents from one vertebrate to another. Among these vectors, ticks are known to carry and transmit the greatest variety of pathogens of public health and veterinary importance. They transmit microorganisms responsible for bacterial (Lyme borreliosis, rickettsioses), parasitic (babesiosis, theileriosis), or viral diseases (tick-borne encephalitis).The Antilles are located in the heart of the Caribbean Neotropical Zone. This area can be considered at risk for the emergence of vector-borne diseases mainly due to favorable environmental conditions and intercontinental exchanges (e.g. legal and illegal animal trade, migratory birds). However, the epidemiological situation of the Caribbean area, with regard to tick-borne diseases, is still poorly documented. Indeed, most of field studies only focused on animal pathogens such as Ehrlichia ruminantium, Babesia (bovis and bigemina) and Anaplasma marginale and questions about the risk of emergence or re-emergence of tick-borne diseases remain unanswered. Thus, it is crucial to develop efficient epidemiological surveillance tools that would enable the detection of new, known or unexpected pathogens present in ticks. In this context, the main objective of my thesis was to obtain an overview of pathogens of medical and veterinary interest present in Caribbean ticks using new high-throughput technologies. We first used a high-throughput sequencing approach to determine pathogens present in ticks (bacteria, parasites, and viruses) collected in Guadeloupe and Martinique. This analysis revealed a great diversity of pathogenic agents in our samples and highlighted the presence of four viruses belonging to new viral families recently described and associated with arthropods. Results of sequencing combined with data available in the literature allowed us to make the most exhaustive list of pathogens potentially transmitted by ticks and requiring health surveillance in the Caribbean area. From this pathogen inventory, we developed a system of high-throughput screening of infectious agents applicable to the whole Caribbean area. This molecular tool is a microfluidic system based on the BiomarkTM dynamic arrays technology (Fluidigm Corporation), which enables high-throughput real-time PCR to simultaneously detect 48-96 targets within 48 to 96 samples. Two different chips have been developed, one for bacteria and parasites monitoring, and one for viruses. Their efficiency was tested on tick samples collected in both Guadeloupe and Martinique. This large-scale screening provided a comprehensive overview of the epidemiological situation of 45 bacteria, 17 parasites and 31 viruses potentially transmitted by ticks in the French West Indies. The high-throughput detection tool developed during my thesis represents a major improvement in epidemiological surveillance technology, enabling the rapid and concomitant monitoring of a wide range of pathogens. It will soon be applied to high-throughput screening of infectious agents found in ticks collected throughout the Caribbean, including Trinidad and Tobago, St. Kitts, Barbados, and St. Lucia, thanks to the collaboration with the CaribVet network, and local veterinarians

This master's thesis deals with the creation of a tool for the extraction of methylation level from transposon sequences. Transposons are DNA elements with ability to move or copy themselves and their activity is regulated by DNA methylation. Sequence methylation information is stored in the bisulfite data and their processing is done with parts of two existing tools in a combination with implemented modules. Created tool takes into consideration unique challenges brought in the methylation calling process by transposable elements and it's functionality is presented on a set of experiments with simulated and real data.

This thesis presents short DNA alignment tools optimization. These short DNA reads are products of next\nobreakdash-generation sequencing technologies. The results produced by existing align\-ment tools can be influenced by various parameters. For this purpose, an optimization framework to find the optimal values of selected parameters was developed. This framework is based on differencial evolution algorithm and its main goal is to maximize the alignment accuracy. The functionality of the framework was tested on both real and generated data sets of short DNA reads. An accurate alignment is crucial for correct prediction of various genetic characteristics.

Dans cette thèse, nous nous intéressons au problème de recherche incrémentale de motifs dans des séquences fortement similaires (On-line Pattern Matching on Highly Similar Sequences), issues de technologies de séquençage à haut débit (SHD). Ces séquences ne diffèrent que par de très petites quantités de variations et présentent un niveau de similarité très élevé. Il y a donc un fort besoin d'algorithmes efficaces pour effectuer la recherche rapide de motifs dans de tels ensembles de séquences spécifiques. Nous développons de nouveaux algorithmes pour traiter ce problème. Cette thèse est répartie en cinq parties. Dans la première partie, nous présentons un état de l'art sur les algorithmes les plus connus du problème de recherche de motifs et les index associés. Puis, dans les trois parties suivantes, nous développons trois algorithmes directement dédiés à la recherche incrémentale de motifs dans un ensemble de séquences fortement similaires. Enfin, dans la cinquième partie, nous effectuons une étude expérimentale sur ces algorithmes. Cette étude a montré que nos algorithmes sont efficaces en pratique en terme de temps de calcul / In this thesis, we are interested in the problem of on-line pattern matching in highly similar sequences, On-line Pattern Matching on Highly Similar Sequences, outcoming from Next Generation Sequencing technologies (NGS). These sequences only differ by a very small amount. There is thus a strong need for efficient algorithms for performing fast pattern matching in such specific sets of sequences. We develop new algorithms to process this problem. This thesis is partitioned into five parts. In the first part, we present a state of the art on the most popular algorithms of finding problem and the related indexes. Then, in the three following parts, we develop three algorithms directly dedicated to the on-line search for patterns in a set of highly similar sequences. Finally, in the fifth part, we conduct an experimental study on these algorithms. This study shows that our algorithms are efficient in practice in terms of computation time.

MSc (Zoology) / Department of Zoology / See the attached abstract below

Background: Lysosomal storage diseases (LSD) often manifest with cherry red macular spots. Diagnosis is based on clinical features and specific biochemical and enzymatic patterns. In uncertain cases, genetic testing with next generation sequencing can establish a diagnosis, especially in milder or atypical phenotypes. We report on the diagnostic work-up in a boy with sialidosis type I, presenting initially with marked cherry red macular spots but non-specific urinary oligosaccharide patterns and unusually mild excretion of bound sialic acid. Methods: Biochemical, enzymatic and genetic tests were performed in the patient. The clinical and electrophysiological data was reviewed and a genotype-phenotype analysis was performed. In addition a systematic literature review was carried out. Case report and results: Cherry red macular spotswere first noted at 6 years of age after routine screening myopia. Physical examination, psychometric testing, laboratory investigations aswell as cerebralMRIwere unremarkable at 9 years of age. So far no clinical myoclonic seizures occurred, but EEG displays generalized epileptic discharges and visual evoked potentials are prolonged bilaterally. Urine thin layer chromatography showed an oligosaccharide pattern compatible with different LSD including sialidosis, galactosialidosis, GM1 gangliosidosis or mucopolysaccharidosis type IV B. Urinary bound sialic acid excretion was mildly elevated in spontaneous and 24 h urine samples. In cultured fibroblasts, α-sialidase activity was markedly decreased to b1%; however, bound and free sialic acid were within normal range. Diagnosis was eventually established by multigene panel next generation sequencing of genes associated to LSD, identifying two novel, compound heterozygous variants in NEU1 gene (c.699CNA, p.S233R in exon 4 and c.803ANG; p.Y268C in Exon 5 in NEU1 transcriptNM_000434.3), leading to amino acid changes predicted to impair protein function. Discussion: Sialidosis should be suspected in patients with cherry red macular spots, even with non-significant urinary sialic acid excretion. Multigene panel next generation sequencing can establish a definite diagnosis, allowing for counseling of the patient and family.

TITLE: Mutation and substitution rates in sexual and asexual forms: a clue to the persistence of sex in a model group of Cobitis? AUTOR: Jan Röslein DEPARTMENT: Ústav živočišné fyziologie a genetiky AVČR, v.v.i. SUPERVISOR: Mgr. Karel Janko, Ph.D. ABSTRACT: Subject of this thesis is to test several hypotheses about the evolution of asexual reproduction in model group of fish family Cobitis and its mutual competition among sexual and asexual forms, which touches one of the oldest unresolved issues of biology. Specifically, the work deals with the accumulation of non-synonymous mutations, which accelerated accumulation in the genome of clonal lineages theoretically leads to increased extinction compared with sexually reproducing populations (so-called. The theory of Muller's ratchet and Kondrashov's hatchet). This thesis is based on a normalized cDNA sequencing data from oocytes and liver tissue, which has served as a base matrix (generated based on non-normalized cDNA data) for transcriptome sequencing (RNAseq). Consequently, the RNAseq data have served as validation for acquired polymorphisms, detection of differential expression of allele- specific expression (ASE) hybrid biotypes. This diploma thesis balances among the edges of vast spectrum of hypotheses regarding the evolution of the genus hybrid...

Cystic fibrosis (CF) is genetically conditioned, autosomal recessive disease that occurs in the European population with a prevalence of about 1:2500 - 1:1800. In this disease we observe a mutation of the CTFR gene with subsequent fault in chloride channels. Such afflicted individuals usually suffer from chronic respiratory problems, pancreatic insufficiency, high concentration of chloride ions in sweat and obstructive azoospermia. Genetic testing of CFTR gene is indicated in individuals who meet the CF clinical picture and a positive sweat test (increased concentration of chlorides in the sweat). Genetic testing of the CFTR gene is usually done by using commercial kits detecting the most common mutations of the CFTR gene in the Czech Republic. If the testing results are negative, it is further performed an MLPA method that captures the larger deletions and duplications of gene, eventually a sequencing of all exons is. Despite the well-established algorithm of the testing, some patients suffering from symptoms of CF are left without genetic findings. Thanks to development of next generation sequencing, it is possible to make the diagnosis of CF more effective and uncover the variants that were not captured by previous methods.

Next generation sequencing technologies are changing the way scientific experiments and diseases diagnostics are performed and thus will allow what is called personalized medicine. The sense of presented thesis is to make survey of new approaches to DNA sequencing and demonstrate usage and constraints of bioinformatic analytical tools available to day. Discussed techniques are then applied to the case study of finding molecular basis for rare hereditary disease. Introductory part deals with overview of commercially available sequencing techniques (454 Life Science, Applied Biosystems, Illumina, Helicos). Fundamentals of each method are described and possible further development is outlined. Post sequencing data analysis is than discussed in details. In practical section we demonstrate genome analysis techniques successfully used to reveal causal mutation in the gene responsible for adult form of autozomal neuronal ceroid lipofuscinosis (ANCL). Combination of linkage analysis (Merlin), copy number variant analysis (Genome-Wide Human SNP Array 6.0), analysis of expression profiles (HumanRef-8 v2 Expression BeadChips) and exome sequencing (SOLiD™ 4 System) has been applied to members of one ANCL family. We also paid attention to comparison, evaluation and selection of available mapping algorithms used in...

(English) Meiotic homologous recombination, homologous chromosomes synapsis, and F1 hybrid sterility (enabling formation of species) are mutually interconnected phenomenons, one being the prerequisite to the latter. In the present thesis, these phenomenons were investigated on a genetic and mechanistic level using a mouse subspecies as a model. Noncrossovers (NCOs, gene conversions), 90% prevalent resolution of Prdm9- determined meiotic double-strand breaks (DSBs), were uniquely identified and characterized on a chromosome-wide level. The mean gene conversion tract length, based on 94 NCOs events, was calculated to be 32 bp. On a local level, the NCOs overlapped the known hotspots of PRDM9-controlled histone trimethylation and DSB formation, indicating their origin in the standard meiotic DSB repair pathway. On chromosome-wide level, NCO and CO distributions differed, in particular COs being relatively preferred over NCOs in subtelomeric regions. A specific subset of nonparental/asymmetric NCOs and COs was underrepresented in our datasets, proposing their problematic repair, hypothetically enabled by sister chromatids, and thus not contributing to indispensable homologous synapsis. Genome-wide crossover (CO) rates, genetically and mechanistically crucial ~10% of DSB repair, were proven to be...