108 resultados para Statistical genomics

em Université de Lausanne, Switzerland


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A workshop recently held at the Ecole Polytechnique Federale de Lausanne (EPFL, Switzerland) was dedicated to understanding the genetic basis of adaptive change, taking stock of the different approaches developed in theoretical population genetics and landscape genomics and bringing together knowledge accumulated in both research fields. Indeed, an important challenge in theoretical population genetics is to incorporate effects of demographic history and population structure. But important design problems (e.g. focus on populations as units, focus on hard selective sweeps, no hypothesis-based framework in the design of the statistical tests) reduce their capability of detecting adaptive genetic variation. In parallel, landscape genomics offers a solution to several of these problems and provides a number of advantages (e.g. fast computation, landscape heterogeneity integration). But the approach makes several implicit assumptions that should be carefully considered (e.g. selection has had enough time to create a functional relationship between the allele distribution and the environmental variable, or this functional relationship is assumed to be constant). To address the respective strengths and weaknesses mentioned above, the workshop brought together a panel of experts from both disciplines to present their work and discuss the relevance of combining these approaches, possibly resulting in a joint software solution in the future.

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Ants are powerful model systems for the study of cooperation and sociality. In this review, we discuss how recent advances in ant genomics have contributed to our understanding of the evolution and organization of insect societies at the molecular level.

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PURPOSE OF REVIEW: To provide updated insights into innate antiviral immunity and highlight prototypical evolutionary features of well characterized HIV restriction factors. RECENT FINDINGS: Recently, a new HIV restriction factor, Myxovirus resistance 2, has been discovered and the region/residue responsible for its activity identified using an evolutionary approach. Furthermore, IFI16, an innate immunity protein known to sense several viruses, has been shown to contribute to the defense to HIV-1 by causing cell death upon sensing HIV-1 DNA. SUMMARY: Restriction factors against HIV show characteristic signatures of positive selection. Different patterns of accelerated sequence evolution can distinguish antiviral strategies--offense or defence--as well as the level of specificity of the antiviral properties. Sequence analysis of primate orthologs of restriction factors serves to localize functional domains and sites responsible for antiviral action. We use recent discoveries to illustrate how evolutionary genomic analyses help identify new antiviral genes and their mechanisms of action.

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Microarray transcript profiling and RNA interference are two new technologies crucial for large-scale gene function studies in multicellular eukaryotes. Both rely on sequence-specific hybridization between complementary nucleic acid strands, inciting us to create a collection of gene-specific sequence tags (GSTs) representing at least 21,500 Arabidopsis genes and which are compatible with both approaches. The GSTs were carefully selected to ensure that each of them shared no significant similarity with any other region in the Arabidopsis genome. They were synthesized by PCR amplification from genomic DNA. Spotted microarrays fabricated from the GSTs show good dynamic range, specificity, and sensitivity in transcript profiling experiments. The GSTs have also been transferred to bacterial plasmid vectors via recombinational cloning protocols. These cloned GSTs constitute the ideal starting point for a variety of functional approaches, including reverse genetics. We have subcloned GSTs on a large scale into vectors designed for gene silencing in plant cells. We show that in planta expression of GST hairpin RNA results in the expected phenotypes in silenced Arabidopsis lines. These versatile GST resources provide novel and powerful tools for functional genomics.

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Limited information is available regarding the methodology required to characterize hashish seizures for assessing the presence or the absence of a chemical link between two seizures. This casework report presents the methodology applied for assessing that two different police seizures were coming from the same block before this latter one was split. The chemical signature was extracted using GC-MS analysis and the implemented methodology consists in a study of intra- and inter-variability distributions based on the measurement of the chemical profiles similarity using a number of hashish seizures and the calculation of the Pearson correlation coefficient. Different statistical scenarios (i.e., a combination of data pretreatment techniques and selection of target compounds) were tested to find the most discriminating one. Seven compounds showing high discrimination capabilities were selected on which a specific statistical data pretreatment was applied. Based on the results, the statistical model built for comparing the hashish seizures leads to low error rates. Therefore, the implemented methodology is suitable for the chemical profiling of hashish seizures.

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Personalized medicine has a substantial potential to transform the way diseases will be predicted, prevented and treated. The field will greatly benefit from novel DNA sequencing technologies, in particular commoditization of individual whole genome sequencing. This evolution cannot be stopped, and the medical and scientific community, as well as the society at large, have the responsibility to anticipate the expected benefits from this revolution, but also the potential risks associated with it. Massive investments will be needed for the potential of personalized medicine to be realized, and for the field to come to maturity. In particular, a paradigm change in the way clinical research is done is needed. Switzerland and its Western part pro-actively anticipate these changes.

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AbstractThe Chlamydiales order is an important bacterial phylum that comprises some of the most successful human pathogens such as Chlamydia trachomatis, the leading infectious cause of blindness worldwide. Since some years, several new bacteria related to Chlamydia have been discovered in clinical or environmental samples and might represent emerging pathogens. The genome sequencing of classical Chlamydia has brought invaluable information on these obligate intracellular bacteria otherwise difficult to study due to the lack of tools to perform basic genetic manipulation. The recent emergence of high-throughput sequencing technologies yielding millions of reads in a short time lowered the costs of genome sequencing and thus represented a unique opportunity to study Chlamydia-re\ated bacteria. Based on the sequencing and the analysis of Chlamydiales genomes, this thesis provides significant insights into the genetic determinants of the intracellular lifestyle, the pathogenicity, the metabolism and the evolution of Chlamydia-related bacteria. A first approach showed the efficacy of rapid sequencing coupled to proteomics to identify immunogenic proteins. This method, particularly useful for an emerging pathogen such as Parachlamydia acanthamoebae, enabled us to discover good candidates for the development of diagnostic tools that would permit to evaluate at larger scale the role of this bacterium in disease. Second, the complete genome of Waddlia chondrophila, a potential agent of miscarriage, encodes numerous virulence factors to manipulate its host cell and resist to environmental stresses. The reconstruction of metabolic pathways showed that the bacterium possesses extensive capabilities compared to related organisms. However, it is still incapable of synthesizing some essential components and thus has to import them from its host. Third, the genome comparison of Protochlamydia naegleriophila to its closest known relative Protochlamydia amoebophila revealed a particular evolutionary dynamic with the occurrence of an unexpected genome rearrangement. Fourth, a phylogenetic analysis of P. acanthamoebae and Legionella drancourtii identified several genes probably exchanged by horizontal gene transfer with other intracellular bacteria that might occur within their amoebal host. These genes often encode mechanisms for resistance to metal or toxic compounds. As a whole, the analysis of the different genomes enabled us to highlight a large diversity in size, GC percentage, repeat content as well as plasmid organization. The abundant genomic data obtained during this thesis have a wide impact since they provide the necessary bases for detailed investigations on countless aspects of the biology and the evolution of Chlamydia-related bacteria, whether in wet lab or by bioinformatical analyses.RésuméL'ordre des Chlamydiales est un important phylum bactérien qui comprend de nombreuses espèces pathogènes pour l'homme et les animaux, dont Chlamydia trachomatis, responsable du trachome, la cause majeure de cécité d'origine infectieuse à travers le monde. Durant ces dernières décennies, de nombreuses bactéries apparentées aux Chlamydia ont été découvertes dans des échantillons environnementaux ou cliniques mais leur éventuel rôle pathogène dans le développement de maladies reste peu connu. Ces bactéries sont des intracellulaires obligatoires car elles ont besoin d'une cellule hôte pour se multiplier, ce qui rend leur étude particulièrement difficile. Le développement de nouvelles technologies permettant de séquencer le génome d'un organisme rapidement et à moindre coût ainsi que l'essor des méthodes d'analyse s'y rapportant représentent une opportunité exceptionnelle d'étudier ces organismes. Dans ce contexte, cette thèse démontre l'utilité de la génomique pour développer de nouveaux outils diagnostiques ainsi que pour étudier le métabolisme de ces bactéries, leurs facteurs de virulence et leur évolution.Ainsi, une première approche a illustré l'utilité d'un séquençage rapide pour obtenir les informations nécessaires à l'identification de protéines qui sont reconnues par des anticorps humains ou animaux. Cette méthode, particulièrement utile pour un pathogène émergent tel que Parachlamydia acanthamoebae, a permis de découvrir de bons candidats pour le développement d'un outil diagnostique qui permettrait d'évaluer à plus large échelle le rôle de cette bactérie notamment dans la pneumonie. L'analyse du contenu génique de Waddlia chondrophila, un autre germe qui pourrait être impliqué dans les avortements et tes fausses-couches, a en outre mis en évidence la présence de nombreux facteurs connus qui lui permettent de manipuler son hôte. Cette bactérie possède de plus grandes capacités métaboliques que les autres Chlamydia, mais elle est incapable de synthétiser certains composants et doit donc les importer de son hôte pour subvenir à ses besoins. La comparaison du génome de Protochlamydia naegleriophila à son plus proche parent, Protochlamydia amoebophila, a dévoilé une évolution dynamique particulière avec l'occurrence d'un réarrangement majeur inattendu après la séparation de ces deux espèces. En outre, ces études ont montré l'occurrence de plusieurs transferts de gène avec d'autres organismes plus éloignés, notamment d'autres intracellulaires d'amibes, souvent pour l'acquisition de mécanismes de résistances à des composés toxiques. Les données génomiques acquises durant ce travail posent les fondements nécessaires a de nombreuses analyses qui permettront progressivement de mieux comprendre de nombreux aspects de ces bactéries fascinantes.

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Understanding the drivers of population divergence, speciation and species persistence is of great interest to molecular ecology, especially for species-rich radiations inhabiting the world's biodiversity hotspots. The toolbox of population genomics holds great promise for addressing these key issues, especially if genomic data are analysed within a spatially and ecologically explicit context. We have studied the earliest stages of the divergence continuum in the Restionaceae, a species-rich and ecologically important plant family of the Cape Floristic Region (CFR) of South Africa, using the widespread CFR endemic Restio capensis (L.) H.P. Linder & C.R. Hardy as an example. We studied diverging populations of this morphotaxon for plastid DNA sequences and >14 400 nuclear DNA polymorphisms from Restriction site Associated DNA (RAD) sequencing and analysed the results jointly with spatial, climatic and phytogeographic data, using a Bayesian generalized linear mixed modelling (GLMM) approach. The results indicate that population divergence across the extreme environmental mosaic of the CFR is mostly driven by isolation by environment (IBE) rather than isolation by distance (IBD) for both neutral and non-neutral markers, consistent with genome hitchhiking or coupling effects during early stages of divergence. Mixed modelling of plastid DNA and single divergent outlier loci from a Bayesian genome scan confirmed the predominant role of climate and pointed to additional drivers of divergence, such as drift and ecological agents of selection captured by phytogeographic zones. Our study demonstrates the usefulness of population genomics for disentangling the effects of IBD and IBE along the divergence continuum often found in species radiations across heterogeneous ecological landscapes.

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This paper presents reflexions about statistical considerations on illicit drug profiling and more specifically about the calculation of threshold for determining of the seizure are linked or not. The specific case of heroin and cocaine profiling is presented with the necessary details on the target profiling variables (major alkaloids) selected and the analytical method used. Statistical approach to compare illicit drug seizures is also presented with the introduction of different scenarios dealing with different data pre-treatment or transformation of variables.The main aim consists to demonstrate the influence of data pre-treatment on the statistical outputs. A thorough study of the evolution of the true positive rate (TP) and the false positive rate (FP) in heroin and cocaine comparison is then proposed to investigate this specific topic and to demonstrate that there is no universal approach available and that the calculations have to be revaluate for each new specific application.

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The aim of this study is to investigate the influence of unusual writing positions on a person's signature, in comparison to a standard writing position. Ten writers were asked to sign their signature six times, in each of four different writing positions, including the standard one. In order to take into consideration the effect of the day-to-day variation, this same process was repeated over 12 sessions, giving a total of 288 signatures per subject. The signatures were collected simultaneously in an off-line and on-line acquisition mode, using an interactive tablet and a ballpoint pen. Unidimensional variables (height to width ratio; time with or without in air displacement) and time-dependent variables (pressure; X and Y coordinates; altitude and azimuth angles) were extracted from each signature. For the unidimensional variables, the position effect was assessed through ANOVA and Dunnett contrast tests. Concerning the time-dependent variables, the signatures were compared by using dynamic time warping, and the position effect was evaluated through classification by linear discriminant analysis. Both of these variables provided similar results: no general tendency regarding the position factor could be highlighted. The influence of the position factor varies according to the subject as well as the variable studied. The impact of the session factor was shown to cover the impact that could be ascribed to the writing position factor. Indeed, the day-to-day variation has a greater effect than the position factor on the studied signature variables. The results of this study suggest guidelines for best practice in the area of signature comparisons and demonstrate the importance of a signature collection procedure covering an adequate number of sampling sessions, with a sufficient number of samples per session.

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Genetic diversity is the amount of variation observed between DNA sequences from distinct individuals of a given species. This pivotal concept of population genetics has implications for species health, domestication, management and conservation. Levels of genetic diversity seem to vary greatly in natural populations and species, but the determinants of this variation, and particularly the relative influences of species biology and ecology versus population history, are still largely mysterious. Here we show that the diversity of a species is predictable, and is determined in the first place by its ecological strategy. We investigated the genome-wide diversity of 76 non-model animal species by sequencing the transcriptome of two to ten individuals in each species. The distribution of genetic diversity between species revealed no detectable influence of geographic range or invasive status but was accurately predicted by key species traits related to parental investment: long-lived or low-fecundity species with brooding ability were genetically less diverse than short-lived or highly fecund ones. Our analysis demonstrates the influence of long-term life-history strategies on species response to short-term environmental perturbations, a result with immediate implications for conservation policies.

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Boundaries for delta, representing a "quantitatively significant" or "substantively impressive" distinction, have not been established, analogous to the boundary of alpha, usually set at 0.05, for the stochastic or probabilistic component of "statistical significance". To determine what boundaries are being used for the "quantitative" decisions, we reviewed pertinent articles in three general medical journals. For each contrast of two means, contrast of two rates, or correlation coefficient, we noted the investigators' decisions about stochastic significance, stated in P values or confidence intervals, and about quantitative significance, indicated by interpretive comments. The boundaries between impressive and unimpressive distinctions were best formed by a ratio of greater than or equal to 1.2 for the smaller to the larger mean in 546 comparisons, by a standardized increment of greater than or equal to 0.28 and odds ratio of greater than or equal to 2.2 in 392 comparisons of two rates; and by an r value of greater than or equal to 0.32 in 154 correlation coefficients. Additional boundaries were also identified for "substantially" and "highly" significant quantitative distinctions. Although the proposed boundaries should be kept flexible, indexes and boundaries for decisions about "quantitative significance" are particularly useful when a value of delta must be chosen for calculating sample size before the research is done, and when the "statistical significance" of completed research is appraised for its quantitative as well as stochastic components.