The diploid amphibian Xenopus tropicalis represents a significant model organism for studies of early development, genes function and evolution. Such techniques as gynogenesis, injection of morpholino antisense oligonucleotide into fertilized eggs or transgenesis were established. In the recent ten years, many efforts have been made to complete the sequence information. X. tropicalis genome has been sequenced but the completion of its assembly only on the basis of sequence data has been impossible. Therefore, our first work was focused on one of approaches for a genome completing- genetic mapping. First of all, the genetic map of Xenopus tropicalis was established pursuant linkage and physical positions of markers. Since the map contained gaps, we developed a new method for genetic mapping based on the next generation sequencing of laser microdissected arm. Using Illumina next generation sequencing of fifteen copies of a short arm of chromosome 7, we obtained new insights into its genome by localizing previously unmapped genes and scaffolds as well as recognizing mislocalized portions of the genome assembly. This was the first time laser microdissection and sequencing of specific chromosomal regions has been used for the purpose of genome mapping. These data were also used in the evolution study of...

INTRODUÇÃO: A microbiota intestinal tem sido alvo de diversos estudos moleculares, principalmente através da introdução de plataformas de sequenciamento de nova geração, devido à sua importância e amplo relacionamento com o hospedeiro humano. Entretanto, o armazenamento de amostras fecais antes da extração do DNA é crítico ao caracterizar a composição da microbiota intestinal. Com base nesses dados, o presente estudo buscou compreender os efeitos de diferentes métodos de armazenamento de amostras fecais para caracterizar a microbiota intestinal através do sequenciamento da nova geração, bem como estabelecer um método alternativo de conservação do material genético bacteriano nessas amostras, utilizando guanidina. MÉTODO: Foram coletadas amostras de fezes de 10 voluntários saudáveis. Cada amostra foi dividida em cinco alíquotas, uma alíquota extraída imediatamente após a coleta (fresca) e duas alíquotas submetidas ao congelamento, à temperaturas de -20°C e -80°C e extraídas após 48 horas. As outras duas alíquotas restantes foram armazenadas em guanidina à temperatura ambiente e a 4°C e extraídas após 48 horas. Para observar a presença de alterações na microbiota intestinal, durante um período de armazenamento maior das amostras de fezes, três amostras foram armazenadas em guanidina à temperatura ambiente e a 4ºC e extraídas após o período de 60 dias. A região hipervariável v4 do gene 16S rRNA bacteriano foi amplificada por PCR. Os amplicons gerados foram sequenciados utilizando a plataforma Ion PGM Torrent e os dados analisados utilizando o software QIIME. A determinação da significância estatística foi realizada utilizando-se o teste não-paramétrico de Kruskal-Wallis. RESULTADOS: Não foram encontradas diferenças significativas em nenhum dos níveis taxonômicos (filo, classe, família, ordem e gênero) entre amostras frescas analisadas e os métodos de armazenamento testados. As análises de coordenadas principais (PCoA) mostraram que as amostras se agruparam de acordo com os indivíduos analisados, tendo as amostras referentes a cada indivíduo agrupado-se com maior proximidade do que com outras amostras do mesmo grupo de armazenamento. CONCLUSÃO: Nossos dados sugerem que o congelamento e o uso de guanidina para armazenamento de amostras de fezes, para a caracterização da microbiota intestinal, podem efetivamente preservar o material genético bacteriano nessas amostras ao longo de um período de 48 horas para amostras submetidas ao congelamento e durante 60 dias para amostras armazenadas em guanidina / INTRODUCTION: The gut microbiota has been the target of several molecular studies, mainly through the introduction of next generation sequencing platforms, due to its importance and wide relationship with the human host. However, the storage of fecal samples prior to DNA extraction is critical when characterizing the composition of the intestinal microbiota. Based on these facts, the present study aimed to understand the effects of different methods of storage of fecal samples to characterize the intestinal microbiota by next generation sequence, as well as establishing an alternative conservation method of the bacterial genetic material in these samples using guanidine. METHODS: Stool samples from 10 healthy volunteers were collected. Each collected sample was divided into five aliquots, one aliquot extracted immediately after collection (fresh) and two aliquots subjected to freezing at -20°C and -80°C temperatures and extracted after 48 hours. The others two remaining aliquots were stored in guanidine at room temperature and at 4°C and extracted after 48 hours. In order to observe the presence of alterations in the intestinal microbiota, during a longer storage period of the stool samples, three samples were stored in guanidine at room temperature and at 4°C and extracted after 60 day period. The v4 hypervariable region of bacterial and archeal 16S rRNA gene were amplified by PCR. The generated amplicons were sequenced using Ion PGM Torrent platform and the data analyzed using the software QIIME. Determination of statistical significance was performed using non-parametric Kruskal-Wallis test. RESULTS: No significant differences were found in any of the taxonomic levels (phylum, class, family, order and genus) between analyzed fresh samples and the others different storage methods. The principal coordinates analysis (PCoA) unweighted showed that the samples clustered based on the host each sample originated from, rather than by storage group. CONCLUSION: Our data suggest that both freezing and the use of guanidine to store stool samples for gut microbiota characterization can effectively preserve the bacterial genetic material in these samples over a 48 hours period for samples subjected to freezing and for up to 60 days for samples stored in guanidine

The present study aimed to evaluate bacterial isolates and the microbiome of dairies. The specific aims were: to characterize Staphylococcus spp. isolated from mastitic milk, to evaluate the presence of Lactococcus in mastitic milk as a potential causative agent of mastitis, to evaluate the association between microbiome and milk quality parameters, and to characterize Staphylococcus spp. isolated from production lines of Minas Frescal cheese. The detection of genes encoding virulence factors (enterotoxins (sea, seb, sec, sed, see, seg, seh, sei, selj, selk, sell, selm, seln, selo, selp, seIq, ser, ses, set, selu, selv, and selx), hemolysins (hla, hlb, hld, hlg, and hlgv), exfoliative toxins (eta, etb, and etd), Panton-Valentine leukocidin (pvl), and toxic shock syndrome toxin (tst)), genes encoding antibiotic resistance (resistance to tetracycline (tetK, tetL, and tetM), erythromycin (ermA, ermB, and ermC), methicillin (mecA and mecC), and tobramycin (ant(4\')-Ia)), molecular typing (spa, SCCmec, and agr types), and phenotyping regarding antibiotic resistance were performed in staphylococci isolates from mastitic milk, and from cheese processing plant samples. Staphylococcus aureus was identified in the majority of isolates from both origins. Several virulence factor genes were detected. The distribution of genes encoding staphylococcal enterotoxins (85.0% - 85.7% of isolates were positive for one or more enterotoxin gene) was highlighted and the gene related to H toxin was the most prevalent. Methicillin-resistant Staphylococcus aureus were identified in isolates from mastitic milk (4.1%) and cheese processing (6.0%); the genotyping and phenotyping of these isolates were described. t605 had the highest frequency in the S. aureus population studied. In mastitic milk, Lactococcus was suggested as the causative agent of an outbreak of mastitis in a dairy farm. Using next generation sequencing, the abundance of Lactococcus was observed in microbiome samples. Bacterial isolation and DNA sequencing confirmed the presence of Lactococcus lactis and Lactococcus garvieae. The microbiome of environmental samples and bulk tank milk from the dairy farm showed the Lactococcus genus among the most common bacterial taxa, suggesting other sources of this genus. Regarding milk quality parameters, the microbiome of bulk tank milk from several dairy farms was associated with somatic cell count and bacterial count. The core microbiome was described and many genera of importance were identified. Among the associations performed between microbiome and milk quality parameters, the identification of Streptococcus in samples classified with high somatic cell count and high bacterial count was highlighted. Several bacterial taxa with relative abundance significantly higher in samples classified as high and low cell count and bacterial count were shown. Real-time polymerase chain reaction was also performed associated with bacterial diversity, bacterial taxa, and bacterial count. These findings highlight the need to control and prevent bacterial contamination in the dairy industry, from herd to consumers. / O presente estudo apresentou como objetivo avaliar isolados bacterianos e microbioma de lácteos. Os objetivos específicos foram: caracterizar Staphylococcus spp. isolados de leite de vacas com mastite, avaliar a presença de Lactococcus em leite de vacas com mastite como um potencial agente causador de mastite, avaliar a associação entre microbioma de leite de tanque e parâmetros da qualidade de leite, e caracterizar Staphylococcus spp. isolados de linhas de processamento de queijo Minas frescal. A detecção de genes codificadores de fatores de virulência (enterotoxinas (sea, seb, sec, sed, see, seg, seh, sei, selj, selk, sell, selm, seln, selo, selp, seIq, ser, ses, set, selu, selv, e selx), hemolisinas (hla, hlb, hld, hlg, e hlgv), toxinas exfoliativas (eta, etb e etd), leucocidina de Panton-Valentine (pvl), toxina da síndrome do choque tóxico (tst)), genes codificadores de resistência a antibióticos (resistência a tetraciclina (tetK, tetL e tetM), eritromicina (ermA, ermB e ermC), meticilina (mecA e mecC) e tobramicina (ant(4\')-Ia)), tipagem molecular (spa, SCCmec e agr types), e fenotipagem quanto à resistência a antibióticos foram realizadas em estafilococos isolados de leite de vacas com mastite e de amostras de planta de processamento de queijo. Staphylococcus aureus foi identificado na maioria dos isolados de ambas as origens. Diversos genes de fatores de virulência foram detectados, com destaque para a distribuição de genes codificadores de enterotoxinas estafilocócicas (85,0%-85,7% dos isolados foram positivos para um ou mais genes codificadores de enterotoxinas), sendo o gene relacionado com a toxina H o mais frequente. Staphylococcus aureus meticilina resistente foram identificados em isolados de leite de vacas com mastite (4.1%) e em processamento de queijo (6.0%); o perfil genotípico e fenotípico destes isolados foram descritos. t605 foi o mais freqüente na população de S. aureus estudada. Em leite de vacas com mastite, Lactococcus foi sugerido como o agente causador de um surto de mastite numa fazenda leiteira. Usando sequenciamento de nova geração, a abundância de Lactococcus foi observada no microbioma das amostras. O isolamento e sequenciamento de DNA confirmaram a presença de Lactococcus lactis e Lactococcus garvieae. O microbioma de amostras ambientais e de leite de tanque da fazenda mostrou o gênero Lactococcus entre os mais comuns, sugerindo outras fontes deste gênero. Contemplando parâmetros da qualidade de leite, o microbioma de leite de tanque de várias fazendas leiteiras foi relacionado com contagem de células somáticas e contagem bacteriana. O core microbiome foi descrito e muitos gêneros bacterianos de importância foram identificados. Dentre as análises realizadas associando microbioma com parâmetros da qualidade de leite, foi destacada a identificação de Streptococcus em amostras classificadas com alta contagem de células somáticas e alta contagem bacteriana. Diversos táxons bacterianos com abundância relativa significativamente maior em amostras classificadas com alta e baixa contagem de células somáticas e contagem bacteriana foram mostrados. Reação em cadeia da polimerase em tempo real também foi realizada e associada com diversidade bacteriana, táxons bacterianos e contagem bacteriana. Estes levantamentos confirmam a necessidade de controlar e prevenir a contaminação bacteriana na indústria de lácteos, do rebanho leiteiro até os consumidores.

Introdução: A variação genética em genes que codificam a absorção, distribuição, metabolismo e excreção (ADME) de medicamentos frequentemente afeta a farmacocinética da droga e resulta na variabilidade da eficácia e segurança do medicamento. No entanto, a frequência da variação genética nos genes ADME diferem entre as populações. O objetivo deste estudo foi analisar as variações genéticas nos genes ADME nos pacientes brasileiros portadores do vírus da hepatite C e comparar com outros bancos de dados (1000 Genomes Project e Exome Aggregation Consortium). Métodos: Um total de 147 genes ADME foram genotipados em 100 amostras por sequenciamento de DNA genômico usando SureSelectXT (Agilent) e MiSeq, NextSeq (Illumina). Resultados: Um total de 2004 SNPs em 147 genes foram analisados, incluindo enzimas de fase I (n=50), enzimas de fase II (n=37) e transportadores (n=60). Uma coleção de variantes genéticas indica que há pelo menos 2 vezes mais variações do que semelhanças entre os pacientes com hepatite C e os principais grupos continentais. Estas diferenças foram observadas em vários genes relevantes, incluindo CYP1A2, CYP3A4, NAT2, ABCB1 e SLCO1B1. Além disso, pacientes auto declarados como branco, pardo, negro e asiático também apresentaram diferenças de frequência alélica quando comparados à europeus, americanos mixos, africanos e asiáticos nos polimorfismos dos genes CYP1A1, CYP2B6, GSTP1 e ABCG2, respectivamente. Conclusão: Concluímos que os pacientes com hepatite C tem uma frequência alélica de genes ADME diferente dos outros bancos de dados. Embora a personalização do tratamento medicamentoso com base no genótipo individual, e não na etnia, possa ser a mais apropriada, as diferenças nas frequências alélicas entre os continentes devem ser consideradas ao projetar ensaios clínicos de novos medicamentos / Background: Genetic variation in genes encoding drug absorption, distribution, metabolism, and excretion (ADME) proteins often affects the drug pharmacokinetics and results in variability in drug efficacy and safety. However, the frequency of genetic variation in the ADME genes differ among populations. The aim of this study was to analyze the genetic variations in the ADME genes in Brazilian patients with hepatitis C and to compare to other databases (1000 Genomes Project e Exome Aggregation Consortium). Methods: A total of 147 ADME were genotyped in 100 samples from Brazil by targeted genomic DNA sequencing using SureSelectXT (Agilent) and MiSeq, NextSeq (Illumina). Results: A total of 2004 SNPs in 147 genes that were analyzed, including phase I enzymes (n=50), phase II enzymes (n=37), drug transporters (n=60). We provide a collection of genetic variants that indicate that there are at least 2-times more variation than similarities between patients with hepatitis C and major continental groups. These differences were observed in several relevant genes including CYP1A2, CYP3A4, NAT2, ABCB1 and SLCO1B1. Moreover, white, brown, black and Asian self-reported patients also showed allele frequency differences when compared to European, mixed American, African and Asian for polymorphisms of the genes CYP1A1, CYP2B6, GSTP1 and ABCG2. respectively. Conclusion: We conclude that the hepatitis C patients has an allele frequency of ADME genes different from other data bases. While personalization of drug treatment based on individual genotype rather than ethnicity may be more appropriate, differences in allelic frequencies across continents should be considered when designing clinical trials of new drugs

Objectifs: Malgré leur grande hétérogénéité histologique et moléculaire, la prise en charge clinique des carcinomes ovariens de haut-grade (COHG) reste peu variable. Le pronostic sombre de cette pathologie implique un réel besoin des nouvelles thérapies. Au-delà des marqueurs pronostiques histologiques classiques et des enquêtes oncogénétiques, l’objectif de cette étude a consisté à rechercher des cibles moléculaires pharmacologiquement recrutables afin de pouvoir proposer aux patientes un accès à la thérapie innovante et personnalisée. Méthodes: Cette étude a été réalisée chez 53 patientes (pts) (âge moyen 58,9 ans, intervalle 25-87) de COHG histologiquement prouvés dont 45 pts de sous-type séreux. 19 pts ont fait l’objet d’une consultation et d’un test oncogénétique sur la base d’antécédents familiaux / personnel de cancer de sein/ovaire. chez. L’expression de P53 et de PTEN a été évaluée sur des tissus fixés au formol et inclus en paraffine par immunohistochimie. Les mutations somatiques de KRAS, NRAS, BRAF, PIK3CA et MET ont été recherchées par PCR-HRM (Polymerase Chain Reaction High Resolution Melting) puis vérifiées par NGS (Next Generation Sequencing) sur des extraits d'ADN préparés à partir d'échantillons de tumeurs congelés, prélevés au moment du diagnostic. Résultats: Des mutations germinales de BRCA1 / 2 ont été identifiées chez 7 pts, toutes atteintes des carcinomes séreux. Une mutation du gène KRAS (exon 2), 2 mutations du gène NRAS (exon 3), 6 mutations du gène PIK3CA (exon 5, 10 et 21) et 5 mutations du gène MET (exon 14 et 18) ont été identifiées chez les 53 tumeurs par NGS, dont deux mutations du gène NRAS et 2 mutations du gène PIK3CA détectées précédemment par PCR-HRM. Aucun profil mutationnel multiple n’a été retrouvé. La surexpression de P53 et la perte d’expression de PTEN ont été constatées chez 32 sur 53 (60%) et 19 sur 46 (41%) des tumeurs. L’analyse statistique n’a été réalisée que chez le sous-groupe de pts atteintes des carcinomes séreux à cause de l’effectif de l’étude. Avec un suivi médian de 38 mois (intervalle de 6-93), 35 pts ont eu une rechute de la maladie et 25 pts sont décédées. La survie sans progression à 2 ans est 28%, et la survie globale à 5 ans est 37%. La surexpression de P53 a été trouvée associée à une meilleure chimiosensibilité, une meilleure survie sans progression et une meilleure survie globale. Conclusion: Pour des COHG, au-delà des altérations de P53 et PTEN, des anomalies génétiques somatiques concernant les voies de signalisation PI3K et MAPK ne sont pas rares et peuvent être détectées par NGS. L’identification de ces anomalies somatiques pourrait offrir une possibilité des thérapies ciblées innovantes pour les patientes sur la base d’éléments diagnostics moléculaires. / Objectives: Despite the great histological and molecular heterogeneity, the clinical management of high-grade ovarian carcinoma remains univo-cal. As a major subgroup of ovarian carcinoma, high-grade ovarian carci-nomas (HGOC) need novel therapy. Additionally to conventional histolog-ical prognostic markers and oncogenetic investigations, molecular diag-nostic was performed using PCR-HRM (Polymerase Chain Reaction High Resolution Melting) and NGS (Next Generation Sequencing) to identify "druggable" targets that could provide access to innovative personalized therapy. Methods: This study was performed in 53 patients (pts) (mean age 58.9 years, range 25-87) with histologically proven HGOC of which 45 pts with serous carcinoma. BRCA1/2 germline mutations had been screened in 19 pts with familial/personal history of breast/ovarian cancer justifying on-cogenetic investigations. P53 and PTEN expression was assessed on for-malin fixed paraffin-embedded tissues using immunohistochemistry. So-matic mutations of KRAS, NRAS, BRAF, PIK3CA and MET were screened using PCR-HRM and then confirmed using NGS on DNA extracts from frozen tumor specimens taken at diagnosis. Results: Seven pts had BRCA1 / 2 germline mutations, all had serous carcinomas. One mutation of KRAS (exon 2), 2 mutations of NRAS (exon 3), 6 mutations of PIK3CA (exon 5, 10 and 21) and 5 mutations of MET (exon 14 and 18) were identified using NGS, of which 2 mutations of NRAS and 2 mutations de PIK3CA detected previously by PCR-HRM, no multiple mutation was detected. P53 overexpression and PTEN loss of expression was detected respectively in 32 of 53 (60%) and 19 of 46 (41%) of all the tumors. Because of the efffective of the study, statistical analyses were restricted to pts with serous carcinoma. With a median follow-up of 38 months (range 6-93), 35 pts had disease progression and 25 pts died during the follow-up. The 2-year progression-free survival (PFS) rate was 28% and 5-year overall survival (OS) rate was 37%. Overexpression of mutant P53 was found to be associated with chemosensitivity and longer PFS and OS. Conclusion: In HGOC, beside P53 and PTEN alterations, somatic genetic abnormalities of PI3K and MAPK signaling pathways can be detected us-ing NGS and provide molecular rationale for targeted therapies, potential-ly offering new therapeutic opportunities to the patients.

A cardiomiopatia hipertrófica (CMH) é uma doença geneticamente determinada, caracterizada por hipertrofia ventricular primária, com prevalência estimada de 0.2% na população geral. Qualquer portador tem 50% de chance de transmitir esta doença para seus filhos, o que torna cada vez mais relevante a importância do estudo genético dos indivíduos acometidos e de seus familiares. Já foram descritas diversas mutações genéticas causadoras de CMH, a maioria em genes que codificam proteínas do sarcômero, e algumas mutações mais raras em genes não sarcoméricos. O objetivo desse estudo é sequenciar as regiões exônicas de genes candidatos, incluindo os principais envolvidos na hipertrofia miocárdica, utilizando o sequenciamento de nova geração (Generation Sequencing); testar a aplicabilidade e viabilidade deste sistema para identificar mutações já confirmadas e propor as prováveis novas mutações causadoras de CMH. Métodos e resultados: 66 pacientes não aparentados portadores de CMH foram estudados e submetidos à coleta de sangue para obtenção do DNA para analisar as regiões exômicas de 82 genes candidatos, utilizando a plataforma MiSeq (Illumina). Identificou-se 99 mutações provavelmente patogênicas em 54 pacientes incluídos no estudo (81,8%) relacionadas ou não a CMH, e distribuídas em 42 genes diferentes. Destas mutações 27 já haviam sido publicadas, sendo que 17 delas descritas como causadoras de CMH. Em 28 pacientes (42,4%) identificou-se mutação nos três principais genes sarcoméricos relacionados à CMH (MYH7, MYBPC3, TNNT2). Encontrou-se também um grande número de variantes não sonôminas de efeito clínico incerto e algumas mutações relacionadas a outras enfermidades. Conclusão: a análise da sequencia dos exônos de genes candidatos, demonstrou ser uma técnica promissora para o diagnóstico genético de CMH de forma mais rápida e sensível. A quantidade de dados gerados é o um fator limitante até o momento, principalmente em doenças geneticamente complexas com envolvimento de diversos genes e com sistema de bioinformática limitado. / Hypertrophic Cardiomyopathy (HCM) is a genetically determined disease, estimated prevalence of 0.2% in the general population. Any of its carriers has 50% likelihood to pass it on to their children, and that makes the genetic study of these individuals and their relatives even more relevant. There have been several studies describing genetic mutations that cause HCM - the vast majority in genes responsible for sarcomere protein coding - and other rarer mutations in non-sarcomeric genes. The aim of this research is study exonic areas of specific genes, including the most important ones related to myocardial hypertrophy, identifying the genetic mutations that have already been documented, and possible new pathogenic mutations, using the high throughput DNA sequencing (NGS); testing the pplicability and viability to identify HCM-causing mutations. Methods and results: 66 unrelated patients with CM were studied and subject to blood sample in order to extract their genomic DNA to analyze exomic regions of 82 candidates genes, using the high throughput sequencing technology on MiSeg (Illumina) platform. In this study we identified 99 possible damaging mutations in 54 patients (81.8%) that could be related or not to HCM, and distributed in 42 different genes. 27 of this variants have already been published, and 17 of them have been described as HCM causes. 42,4% of the patients (28 individuals) have genetic mutations in the three main sarcomeric genes related to HCM (MYH7, MYBPC3, TNNT2). We also identified a large number of non-synonymous variants of uncertain clinical significance and some mutations related to other diseases. Conclusion: The exome analysis in candidates genes using NGS has demonstrated to be promising for the genetic diagnosis of HCM, in a short time with sensivity. The amount of data obtained in a short period of time is the main limiting factor, especially for genetically complex diseases that involve multiple genes.

Plants and microorganisms interact with each other constantly, with some interactions being mutually beneficial and others being detrimental to the plants. The features of the organisms involved in such interactions will determine the characteristics of individual pathosystems. Plants respond readily to pathogen attacks, regardless of the pathosystem; furthermore, variation in the resistance to pathogens within species is common and well documented in many plant species. The variability in pathogen resistance is at the core of genetic improvement programs for disease resistance. True resistance to pathogens in plants is a genetically determined and complex trait that can involve both constitutive and induced mechanisms at different levels of organization. The complexity of this phenomenon makes the study of compatible plant - pathogen interactions challenging, and typically, disease resistance studies focus on specific aspects of a pathosystem, such as field resistance, anatomical or physiological features of resistant plants, or molecular mechanisms of resistance. The Thuja sp. - Didymascella thujina (E.J. Durand) Maire interaction is an important pathosystem in western North America, which has been studied for more than five decades. Western redcedar (Thuja plicata Donn ex D. Don) is very susceptible to cedar leaf blight (D. thujina), a biotroph that affects the tree at all stages, although seedlings are the most sensitive to the pathogen. The characteristics of the Thuja sp. - D. thujina interaction, the wealth of information on the pathosystem and the excellent Thuja sp. genetic resources available from the British Columbia Ministry of Forests, Lands, Natural Resource Operations and Rural Development make this interaction an ideal system to advance the study of disease resistance mechanisms in conifers. This Doctoral project presents a comprehensive investigation of the constitutive and induced resistance mechanisms against D. thujina in T. plicata, Thuja standishii (Gord.) Carrière and a Thuja standishii x plicata hybrid at the phenotypic and gene expression levels, undertaken with the objective of exploring the resistance mechanisms against the biotroph in these conifers. The project also aimed to establish base knowledge for the future development of markers for marker-assisted breeding of T. plicata. The investigations included a combination of histological, chemical and next generation sequencing (NGS) methodologies. NGS data were analyzed, in addition to the traditional clustering analyses, with cutting edge machine learning methods, including grade of membership analysis, dynamic topic modelling and stability selection analysis. The studies were progressively more controlled to narrow the focus on the resistance mechanisms to D. thujina in Thuja sp. Histological characteristics related to D. thujina resistance in Thuja sp. were studied first, along with the relationship between climate of origin and disease resistance. The virulence of D. thujina was also documented early in this project. Chemical and gene expression constitutive and induced responses to D. thujina infection in T. plicata seedlings were studied next. T. plicata clonal lines were then comprehensively studied to shed light on the mechanisms behind known physiologically determined resistance. A holistic investigation of the resistance mechanisms to D. thujina in T. standishii, T. plicata and a T. standishii x plicata hybrid explored the possibility of a gene-for-gene resistance model. Thirty-five T. plicata families were screened during the four field seasons carried out between 2012 and 2015, totalling more than 1,400 seedlings scored for D. thujina severity. Thirteen of those families were used in the five studies performed during the program, along with two T. plicata seedling lines self-pollinated for five generations and three T. plicata clonal lines. One T. standishii clonal line, and one T. standishii x plicata clone were also investigated during the program. A total of 16 histological and anatomical characteristics were studied in more than 750 samples, and more than 270 foliar samples were analyzed for 60 chemical and nutritional compounds. Almost one million transcriptomic sequences in four individually assembled reference transcriptomes were examined during the program. The results of the project support the variability in the resistance to D. thujina in T. plicata, as well as the higher resistance to the pathogen in plants originating from cooler and wetter environments. The data collected also depicted the existence of age-related resistance in T. plicata, and confirmed the full resistance to the disease in T. standishii. Western redcedar plants resistant and susceptible to D. thujina showed constitutive differences at the phenotypic and gene expression levels. Resistant T. plicata seedlings had thicker cuticles, constitutively higher concentrations of sabinene, alpha-thujene, and higher levels of expression of NBS-LRR disease resistance proteins. Resistant clones of T. plicata and T. standishii had higher expression levels of bark storage proteins and of dirigent proteins. Plants from all ages, species and resistance classes studied that were infected with D. thujina showed the accumulation of aluminum in the foliage, and increased levels of sequences involved in cell wall reinforcement. Additional responses to D. thujina infection in T. plicata seedlings included the downregulation of some secondary metabolic pathways, whereas pathogenesis-related proteins were upregulated in clonal lines of T. plicata. The comprehensive approach used here to study the Thuja sp. - D. thujina pathosystem could be applied to other compatible plant-pathogen interactions. / Graduate / 2020-08-31

This thesis describes the development and use of a new class of molecular tools called Selector probes, and its potential for investigations of genetic variation. The Selector technology provides multiplex amplification of targeted DNA sequences with a high specificity, and an enrichment factor in the same order of magnitude as PCR. A common feature in this thesis work is to focus the analysis on DNA regions of interest. For example, this technique can be implemented in analysing candidate regions found by whole genome studies that need validation (global to local analysis), and applications requiring detection of rare alleles (common to rare allele), important in for example cancer samples. An assay is presented that allows for fast and simple quantification of relative copy-number variations. The method was proven to be able to detect aneuploidy in chromosome 13, 18, 21 and X, with a resolution enough to distinguish between 4 and 5 copies. The method was successfully applied to solve a biological question regarding a copy-number variation, that explains the Ridge phenotype typical for the dog bread Rhodesian Ridgebacks. The Selector strategy was able to detect and map a tandem duplication with a size of 133 kb, which was characterized with base-pair resolution. A readout platform that facilitates simultaneous digital quantitative analysis of a large numbers of biomolecules is further introduced. The work involves arraying amplified product from successful selection and decoding each molecule by hybridization of fluorophore labeled oligonucleotides. Finally, a genome partitioning method which is applied upstream of next generation sequencing platforms is presented. It is shown that the method provides successful enrichment with 98 % coverage and 94 % specificity and high enrichment uniformity. The technique was applied for mutation analysis of 26 cancer-related genes in tumor cell-lines and tissue.

Le cancer épithélial de l’ovaire (CEO) est le cancer gynécologique le plus létal. Plus de 70% des patientes diagnostiquées avec une tumeur de stade avancé rechutent suite aux traitements chimiothérapeutiques de première ligne, la survie à cinq ans étant ainsi très faible. Afin de mieux comprendre l’évolution de la maladie, nous avons recherché de nouveaux gènes, responsables de l’initiation et de la progression du CEO. Précédemment, des lignées cellulaires ont été dérivées à partir de la tumeur primaire et récurrente et/ou d’ascites de trois patientes. Le séquençage de l’ARN de ces lignées par la technologie de séquençage de nouvelle génération (TSNG) nous a permis d’identifier des mutations ponctuelles qui pourraient nous indiquer des gènes dérégulés dans le CEO. La TSNG est un bon outil qui permet d’identifier et de cribler à grande échelle des mutations. Nous avons sélectionné PLEC1, SCRIB, NCOR2, SEMA6C, IKBKB, GLCE et ITGAE comme gènes candidats présentant des mutations dans nos lignées et ayant une relation fonctionnelle avérée avec le cancer. Étant donné que la TSNG est une technique à taux de fiabilité limité, nous avons validé ces mutations par séquençage Sanger. Ensuite, nous avons étudié l’effet de ces mutations sur la structure protéique et l’expression de PLEC1, de SCRIB et de SEMA6C. Seules certaines mutations dans les gènes PLEC1, SCRIB et SEMA6C ont pu être confirmées. PLEC1 et SCRIB sont deux protéines d’échafaudage dont la mutation, rapportée dans plusieurs cancers, pourrait induire des changements de leurs conformations et affecter leurs interactions et leurs fonctions. Les conséquences de ces mutations sur la tumorigenèse de l’ovaire devront être étudiées. / Epithelial ovarian cancer (EOC) is the most lethal gynecological cancer. Over 70% of the patients diagnosed with advanced stage of cancer relapse following first-line chemotherapy treatments; consequently the five-year survival is very low. To better understand the evolution of the disease, our aim was to identify new genes responsible for the initiation and progression of EOC. Previously, cell lines derived from solid tumors or ascites were developed from the primary and recurrent tumor or ascites of three patients. RNA sequencing of these cell lines by next-generation sequencing technology (NGST) allowed us to identify mutations that might point to genes whose deregulation is important in EOC. Mutations were detected in PLEC1, SCRIB, NCOR2, SEMA6C, IKBKB, GLCE and ITGAE. We selected these genes for further studies as they have previously been identified as being associated with cancer. First, we validated these mutations by Sanger sequencing in order to determine the concordance with NGST data. Secondly, we studied the impact of the validated mutations on protein structure and gene expression. Only certain mutations in PLEC1, SCRIB and SEMA6C were confirmed. Of interest, PLEC1 and SCRIB are two scaffold proteins, where mutations have been reported in several cancers and, possibly leading to changes in their conformation and thereby affecting their interactions and functions. The consequences of these mutations on ovarian tumorigenesis remain to be determined.

Agricultural management is essential for achieving optimum crop production and maintaining soil quality. Soil microorganisms are responsible for nutrient cycling and are an important consideration for effective soil management. The overall goal of the present research was to better understand microbial communities in agricultural soils as they relate to soil management practices. For this, we evaluated the differential impact of two contrasting drainage practices on microbial community composition and characterized active denitrifiers from selected agricultural sites. Field drainage is important for crop growth in arable soils. Controlled and uncontrolled tile drainage practices maintain water in the field or fully drain it, respectively. Because soil water content influences nutrient concentration, moisture, and oxygen availability, the effects of these two disparate practices on microbial community composition was compared in paired fields that had diverse land management histories. Libraries of the 16S rRNA gene were generated from DNA from 168 soil samples collected from eight fields during the 2012 growing season. Paired-end sequencing using next-generation sequencing was followed by read assembly and multivariate statistical analyses. Results showed that drainage practice exerted no measureable effect on the bacterial communities. However, bacterial communities were impacted by plant cultivar and applied fertilizer, in addition to sampled soil depth. Indicator species were only recovered for depth; plant cultivar or applied fertilizer type had no strong and specific indicator species. Among indicator species for soil depth (30-90 cm) were Chloroflexi (Anaerolineae), Betaproteobacteria (Janthinobacterium, Herminiimonas, Rhodoferax, Polaromonas), Deltaproteobacteria (Anaeromyxobacter, Geobacter), Alphaproteobacteria (Novosphingobium, Rhodobacter), and Actinobacteria (Promicromonospora). Denitrification in agricultural fields transforms nitrogen applied as fertilizer, reduces crop production, and emits N2O, which is a potent greenhouse gas. Agriculture is the highest anthropogenic source of N2O, which underlines the importance of understanding the microbiology of denitrification for reducing greenhouse gas emissions by altered management practices. Existing denitrifier probes and primers are biased due to their development based mostly on sequence information from cultured denitrifiers. To circumvent this limitation, this study investigated active and uncultivated denitrifiers from two agricultural sites in Ottawa, Ontario. Using DNA stable-isotope probing, we enriched nucleic acids from active soil denitrifiers by exposing intact replicate soil cores to NO3- and 13C6-glucose under anoxic conditions using flow-through reactors, with parallel native substrate controls. Spectrophotometric chemistry assays and gas chromatography confirmed active NO3- depletion and N2O production, respectively. Duplicate flow-through reactors were sacrificed after one and four week incubation periods to assess temporal changes due to food web dynamics. Soil DNA was extracted and processed by density gradient ultracentrifugation, followed by fractionation to separate DNA contributed by active denitrifiers (i.e., “heavy” DNA) from that of the background community (i.e., “light” DNA). Light and heavy DNA samples were analyzed by paired-end sequencing of 16S rRNA genes using next-generation sequencing. Multivariate statistics of assembled 16S rRNA genes confirmed unique taxonomic representation in heavy fractions from flow-through reactors fed 13C6-glucose, which exceeded any site-specific or temporal shifts in putative denitrifiers. Based on high relative abundance in heavy DNA, labelled taxa affiliated with the Betaproteobacteria (71%; Janthinobacterium, Acidovorax, Azoarcus, Dechloromonas), Alphaproteobacteria (8%; Rhizobium), Gammaproteobacteria (4%; Pseudomonas), and Actinobacteria (4%; Streptomycetaceae). Metagenomic DNA from the original soil and recovered heavy fractions were subjected to next-generation sequencing and the results demonstrated enrichment of denitrification genes with taxonomic affiliations to Brucella, Ralstonia, and Chromobacterium in heavy fractions of flow-through reactors fed 13C6-glucose. The vast majority of heavy-DNA-associated nitrite-reductase reads annotated to the copper-containing form (nirK), rather than the heme-containing enzyme (nirS). Analysis of recovered nirK genes demonstrated low sequence identity across common primer-binding sites used for the detection and quantification of soil denitrifiers, indicating that these active denitrifiers would not have been detected in molecular surveys of these same soils.