DNA sequence properties that predict susceptibility to epiallelic switching.

Transgenerationally heritable epialleles are defined by the stable propagation of alternative transcriptional states through mitotic and meiotic cell cycles. Given that the propagation of DNA methylation at CpG sites, mediated in Arabidopsis by MET1, plays a central role in epigenetic inheritance, we examined genomewide DNA methylation in partial and complete loss-of-function met1 mutants. We interpreted the data in relation to transgenerational epiallelic stability, which allowed us to classify chromosomal targets of epigenetic regulation into (i) single copy and methylated exclusively at CpGs, readily forming epialleles, and (ii) transposon-derived, methylated at all cytosines, which may or may not form epialleles. We provide evidence that DNA sequence features such as density of CpGs and genomic repetitiveness of the loci predispose their susceptibility to epiallelic switching. The importance and predictive power of these genetic features were confirmed by analyses of common epialleles in natural Arabidopsis accessions, epigenetic recombinant inbred lines (epiRILs) and also verified in rice.Transgenerationally heritable epialleles are defined by the stable propagation of alternative transcriptional states through mitotic and meiotic cell cycles. Given that the propagation of DNA methylation at CpG sites, mediated in Arabidopsis by MET1, plays a central role in epigenetic inheritance, we examined genomewide DNA methylation in partial and complete loss‐of‐function met1 mutants. We interpreted the data in relation to transgenerational epiallelic stability, which allowed us to classify chromosomal targets of epigenetic regulation into (i) single copy and methylated exclusively at CpGs, readily forming epialleles, and (ii) transposon‐derived, methylated at all cytosines, which may or may not form epialleles. We provide evidence that DNA sequence features such as density of CpGs and genomic repetitiveness of the loci predispose their susceptibility to epiallelic switching. The importance and predictive power of these genetic features were confirmed by analyses of common epialleles in natural Arabidopsis accessions, epigenetic recombinant inbred lines (epiRILs) and also verified in rice

Towards comprehensive observing and modeling systems for monitoring and predicting regional to coastal sea level

A major challenge for managing impacts and implementing effective mitigation measures and adaptation strategies for coastal zones affected by future sea level (SL) rise is our limited capacity to predict SL change at the coast on relevant spatial and temporal scales. Predicting coastal SL requires the ability to monitor and simulate a multitude of physical processes affecting SL, from local effects of wind waves and river runoff to remote influences of the large-scale ocean circulation on the coast. Here we assess our current understanding of the causes of coastal SL variability on monthly to multi-decadal timescales, including geodetic, oceanographic and atmospheric aspects of the problem, and review available observing systems informing on coastal SL. We also review the ability of existing models and data assimilation systems to estimate coastal SL variations and of atmosphere-ocean global coupled models and related regional downscaling efforts to project future SL changes. We discuss (1) observational gaps and uncertainties, and priorities for the development of an optimal and integrated coastal SL observing system, (2) strategies for advancing model capabilities in forecasting short-term processes and projecting long-term changes affecting coastal SL, and (3) possible future developments of sea level services enabling better connection of scientists and user communities and facilitating assessment and decision making for adaptation to future coastal SL change.RP was funded by NASA grant NNH16CT00C. CD was supported by the Australian Research Council (FT130101532 and DP 160103130), the Scientific Committee on Oceanic Research (SCOR) Working Group 148, funded by national SCOR committees and a grant to SCOR from the U.S. National Science Foundation (Grant OCE-1546580), and the Intergovernmental Oceanographic Commission of UNESCO/International Oceanographic Data and Information Exchange (IOC/IODE) IQuOD Steering Group. SJ was supported by the Natural Environmental Research Council under Grant Agreement No. NE/P01517/1 and by the EPSRC NEWTON Fund Sustainable Deltas Programme, Grant Number EP/R024537/1. RvdW received funding from NWO, Grant 866.13.001. WH was supported by NASA (NNX17AI63G and NNX17AH25G). CL was supported by NASA Grant NNH16CT01C. This work is a contribution to the PIRATE project funded by CNES (to TP). PT was supported by the NOAA Research Global Ocean Monitoring and Observing Program through its sponsorship of UHSLC (NA16NMF4320058). JS was supported by EU contract 730030 (call H2020-EO-2016, “CEASELESS”). JW was supported by EU Horizon 2020 Grant 633211, Atlantos

Islet Endothelial Activation and Oxidative Stress Gene Expression Is Reduced by IL-1Ra Treatment in the Type 2 Diabetic GK Rat

Inflammation followed by fibrosis is a component of islet dysfunction in both rodent and human type 2 diabetes. Because islet inflammation may originate from endothelial cells, we assessed the expression of selected genes involved in endothelial cell activation in islets from a spontaneous model of type 2 diabetes, the Goto-Kakizaki (GK) rat. We also examined islet endotheliuml/oxidative stress (OS)/inflammation-related gene expression, islet vascularization and fibrosis after treatment with the interleukin-1 (IL-1) receptor antagonist (IL-1Ra)

Web pages exploration : from the inter-individual characterization to the identification of behavioral patterns

Une étude de Nielsen (2006), largement citée, indique que les internautes explorent les pages Web suivant un pattern en forme de "F". Ce résultat a amené les concepteurs à organiser les informations d'une page en fonction de ce comportement, même si aucune étude n'a permis de répliquer ces résultats. Bien que les conclusions de cette étude portent sur le comportement visuel, la question des patterns comportementaux permettant de décrire la navigation des internautes se pose de manière plus générale. L'objectif de cette thèse a donc été de déterminer si des patterns pouvaient être mis en lumière à partir de différents indicateurs. Trois études ont été réalisées. Dans la première étude, 112 participants devaient réaliser quatre tâches de recherche d’information sur deux sites web différents. Le protocole impliquait une répétition immédiate de ces mêmes tâches. Une classification automatique a permis d'identifier 4 patterns qui se distinguent à la fois en termes de navigation sur la page d’accueil, mais aussi de performances. Lors des répétitions, la classification nous a permis d’identifier 3 des 4 patterns précédents. Ceci implique que les individus ne répètent pas forcément leur façon de rechercher l'information et ceci, peu importe la tâche, et le site. La deuxième étude a porté sur 27 individus et impliquait, pour les participants, de se présenter trois fois consécutives à 48 heures d’intervalle, afin de refaire les mêmes tâches. La répétition des tâches, que ce soit à court ou à moyen terme, entraîne une augmentation des performances, c'est-à-dire que les tâches sont réalisées plus rapidement et de façon plus efficiente. Toutefois, les patterns identifiés diffèrent entre les répétitions à court et moyen terme. Un autre résultat observé est que les stratégies ou patterns ne sont pas propres aux individus. En d'autres termes, un individu peut présenter ou adopter plusieurs patterns d'une tâche à une autre, d'un site à un autre ou d'une répétition à l'autre. Enfin, pour notre dernière étude, nous nous sommes demandé si l’homogénéité de nos échantillons pouvait influer sur les patterns. Nous avons donc réalisé une expérimentation comptant 47 participants avec des profils variés. Les individus ont eu tendance à se distinguer selon les 4 mêmes patterns identifiés. Nous avons pu observer qu’en fonction des individus, une même stratégie pouvait conduire à la réussite ou à l’échec de la tâche. De plus, les styles d’apprentissage ne semblent pas liés aux patterns observés. Les limites et les perspectives de ces travaux sont discutées.A study by Nielsen (2006), widely cited, indicates that Internet users explore web pages following a "F" shape pattern. This result brought the designers to organize the information of a page according to this behavior, even if no study replicated these results. Although the conclusions of this study concern the visual behavior, the question of the behavioral patterns allowing describing the navigation of the Internet users remains in a more general way. Thus the aim of this thesis was to determine if patterns could be revealed from various indicators. Three studies were conducted. In the first study, 112 participants had to perform four information search tasks on two different websites. The experimental protocol involved an immediate repetition of the same tasks. A clustering method allowed us to identify 4 behavioral patterns, which distinguish themselves in terms of navigation on the homepage, but also in terms of performances. During the repetitions, the classification allowed us to identify 3 patterns out of the 4 previous ones. This implies that the individuals do not repeat necessarily the way they look for the information and this, no matter the task, and the Web site. The second experiment involved 27 persons. They had to come three times, with 48 hour intervals to repeat the same tasks. The repetition of the tasks, whether in short or medium-term, increased the performances of the users, that is the tasks are more quickly realized and in a more efficient way. However, the identified patterns differ between the short and medium-term repetitions. Another observed result is that the strategies or patterns are not peculiar to the individuals. In other words, an individual can present or adopt several patterns from a task to another one, from a site to an other one or from a repetition to the other one. Finally, in our last study, we wondered if the homogeneity of our previous samples could have influenced the patterns. So we conducted an experiment with 47 participants with varied profiles. The individuals tended to distinguish themselves according to 4 same identified patterns. We were able to observe that according to the individuals, the same strategy could lead to the success or to the failure of the task. Furthermore, the learning styles did not seem to be related to the observed patterns. Limits and prospects of this work are discussed

The multiplicity of O-type stars in NGC 2244

peer reviewedThe investigation of the multiplicity of massive stars is crucial to determine a robust binary fraction but also for understanding the physical properties of these objects. In this contribution, we will present the main results from our long-term spectroscopic survey devoted to the young open cluster NGC 2244. We discuss the spectral classification, the projected rotational velocity (v sin{i}) and the multiplicity of O-stars. The stellar and wind parameters of each star, obtained using the CMFGEN atmosphere code, help us to better constrain the individual properties of these objects. Several of these stars were observed by the CoRoT satellite (SRa02) in the Asteroseismology channel. This intensive monitoring and the unprecedented quality of the light curves allow us to shed a new light on these objects

Study of Cuvierian tubule adhesion in the sea cucumber Holothuria forskali

peer reviewe

Dynamic uplift and subsidence in the Central Andes associated with flat-slab subduction

International audienc

Yeast mitochondrial Gln-tRNAGln is generated by a GatFAB-mediated transamidation pathway involving Arc1p-controlled subcellular sorting of cytosolic GluRS

It is impossible to predict which pathway, direct glutaminylation of tRNAGln or tRNA-dependent transamidation of glutamyl-tRNAGln, generates mitochondrial glutaminyl-tRNAGln for protein synthesis in a given species. The report that yeast mitochondria import both cytosolic glutaminyl-tRNA synthetase and tRNAGln has challenged the widespread use of the transamidation pathway in organelles. Here we demonstrate that yeast mitochondrial glutaminyl-tRNAGln is in fact generated by a transamidation pathway involving a novel type of trimeric tRNA-dependent amidotransferase (AdT). More surprising is the fact that cytosolic glutamyl-tRNA synthetase (cERS) is imported into mitochondria, where it constitutes the mitochondrial nondiscriminating ERS that generates the mitochondrial mischarged glutamyl-tRNAGln substrate for the AdT. We show that dual localization of cERS is controlled by binding to Arc1p, a tRNA nuclear export cofactor that behaves as a cytosolic anchoring platform for cERS. Expression of Arc1p is down-regulated when yeast cells are switched from fermentation to respiratory metabolism, thus allowing increased import of cERS to satisfy a higher demand of mitochondrial glutaminyl-tRNAGln for mitochondrial protein synthesis. This novel strategy that enables a single protein to be localized in both the cytosol and mitochondria provides a new paradigm for regulation of the dynamic subcellular distribution of proteins between membrane-separated compartments

Climate model uncertainty and trend detection in regional sea level projections: A review

Projections of future sterodynamic sea level change from global climate models are associated with different sources of uncertainty. From a scientific, societal and policy-making perspective, it is relevant to both understand and reduce uncertainty in projections of climate change. Here, we review recent findings which describe, and shed light on, climate model uncertainty focusing particularly on two types of model uncertainty that contribute to the currently large spread in dynamical sea level patterns (i.e., regional sea level relative to the global mean). These uncertainties are: (1) intermodel uncertainty due to differences in models’ responses in a warming climate and (2) internal model variability due to an individual model’s own climate variability. On timescales longer than about 50 years from now, anthropogenic sterodynamic (dynamic plus global mean) sea level trends from middle- and high-end forcing scenarios will be larger than internal model variability. By 2100, these anthropogenic trends will also be larger than intermodel uncertainty when global mean thermosteric sea level rise and/or melting contributions from land ice are considered along with dynamic sea level changes. Furthermore, we discuss projections of future coastal sea level from the perspective of global climate models as well as from downscaled efforts based on regional climate models. Much knowledge and understanding has been achieved in the last decade from intermodel experiments and studies of sea level process-based model; here, the prospects for improving coastal sea level and reducing sea level uncertainty are discussed