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.

No description available.

La compréhension des mécanismes moléculaires impliqués dans la détermination du sexe chez les plantes à fleurs est primordiale d’un point de vue fondamental et appliqué. Des processus liés à la biosynthèse des hormones, tel que l’éthylène, ou la régulation de l’expression génique via des petits ARN et des facteurs de transcription ont été associés à l’unisexualisation des fleurs chez des espèces dioïques. Cependant, les déterminants contrôlant le sexe chez les plantes sont encore largement méconnus. Le palmier dattier, Phoenix dactylifera L, est une espèce dioïque dont le dimorphisme sexuel est observé très tôt au cours du développement des fleurs. Des gènes différentiellement exprimés (DEGs) ont été identifiés pendant les stades précoces du développement floral mâle et femelle. Pour cela, un transcriptome de référence rassemblant des données d’expression relatives aux deux sexes a été généré. L’analyse d'enrichissement GO des DEGs, a révélé des processus biologiques communs aux mâles et aux femelles, associés au développement reproducteur et à la réponse aux stimuli. Ce résultat indique que des mêmes processus peuvent solliciter des gènes différents au cours du développement floral précoce en fonction du sexe. Cette analyse a également mis en évidence que le développement des fleurs mâles requiert des processus biologiques spécifiques impliqués dans la régulation cellulaire et l'expression des gènes. En outre, deux DEGs femelles, une S-adenosylmethionine synthase et une Flap endonuclease et un DEG mâle, un élément transposable, ont été identifiés dans les régions non-recombinantes du génome du palmier dattier.Cette étude est la première analyse globale des processus biologiques associés à l’acquisition du dimorphisme sexuel. Elle contribue également à la compréhension de la détermination du sexe chez le palmier dattier, et plus largement à la connaissance de ces processus chez les espèces dioïques. / Unraveling molecular mechanisms involved in sex determination in flowering plants is of outstanding basic and applied interest. Several studies on dioecious species have highlighted the molecular basis of sex determination, such as cell death and ethylene biosynthesis pathway. Sex determination mechanisms in plants are, however, still largely unknown. The date palm, Phoenix dactylifera L, is a dioecious species where sexual dimorphism is observed very early in development of flowers. Differentially expressed genes (DEGs) were identified during the early stages of the male and female flower development. A reference transcriptome including male and female data was constructed to gain insight into this process in the dioecious palm Phoenix dactylifera L. Differentially expressed genes (DEG) were subsequently identified between males and females in the early flower development stages in which the first morphological gender difference occurs in date palms.Gene ontology enrichment analysis of DEG revealed biological processes shared between males and females involved in reproductive development and response to stimulus, indicating that same processes could require different genes during early flower development in date palm. This analysis also suggested that date palm triggers biological processes specifically involved in cellular regulation and gene expression to develop male flowers. Furthermore, two female DEGs related to DNA methylation S-adenosylmethionine synthase and DNA metabolism Flap endonuclease, and one male DEGs, a transposable element were found in non-recombinant date palm regions. This study provided the first insight into biological processes involved in sex determination in date palms and more widely to knowledge of this process in dioecious species.

No description available.

No description available.

Nous introduisons un ensemble de modèles à facteurs latents dédié à la génomique du paysage et aux tests d'associations écologiques. Cela comprend des méthodes statistiques pour corriger des effets d'autocorrélation spatiale sur les cartes de composantes principales en génétique des populations (spFA), des méthodes pour estimer rapidement et efficacement les coefficients de métissage individuel à partir de matrices de génotypes de grande taille et évaluer le nombre de populations ancestrales (sNMF) et des méthodes pour identifier les polymorphismes génétiques qui montrent de fortes corrélations avec des gradients environnementaux ou avec des variables utilisées comme des indicateurs pour des pressions écologiques (LFMM). Nous avons aussi développé un ensemble de logiciels libres associés à ces méthodes, basés sur des programmes optimisés en C qui peuvent passer à l'échelle avec la dimension de très grand jeu de données, afin d'effectuer des analyses de structures de population et des cribles génomiques pour l'adaptation locale. / We introduce a set of latent factor models dedicated to landscape genomics and ecological association tests. It includes statistical methods for correcting principal component maps for effects of spatial autocorrelation (spFA); methods for estimating ancestry coefficients from large genotypic matrices and evaluating the number of ancestral populations (sNMF); and methods for identifying genetic polymorphisms that exhibit high correlation with some environmental gradient or with the variables used as proxies for ecological pressures (LFMM). We also developed a set of open source softwares associated with the methods, based on optimized C programs that can scale with the dimension of very large data sets, to run analyses of population structure and genome scans for local adaptation.

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