Un outil de diagnostic et d'évaluation pour aider l'élève en physique-chimie.

National audienceCet article propose un outil d'évaluation qui permet à l'enseignant de faire un diagnostic de chacun de ses élèves quant à quelques compétences transversales de son choix, qui pourront être évaluées tout au long de l'année scolaire et qui constituent des exigences fondamentales de l'enseignement. Cet outil fournit une évaluation qualitative qui ne sanctionne pas l'élève, mais qui, à côté de ses traditionnelles note et appréciation, lui permet de s'évaluer, de l'aider dans les stratégies qu'il adopte pour progresser et de prendre conscience de son évolution éventuelle au cours de l'année. Le dispositif est détaillé et une analyse critique est proposée par les auteurs pour ouvrir le débat. De plus, l'article décrit et analyse le point de vue des élèves de trois classes différentes sur le dispositif. Enfin, la possibilité d'étendre le dispositif à des compétences disciplinaires concernant une partie précise du programme est évoquée

Une introduction à la nature et au fonctionnement de la physique pour des élèves de seconde.

National audienceCet article propose, décrit et justifie une séquence d'enseignement de seconde ayant pour but de profiter d'une partie du programme actuel de la classe de seconde pour proposer aux élèves une première approche de la nature et du fonctionnement de laphysique, de ses objets d'étude et de ses limites. Cette démarche, conforme aux programmes en vigueur, permet aux enseignants d'initier leurs élèves à l'activité de modélisation et de mettre en évidence sa place centrale en physique ; les élèves sont capablesde la comprendre si les enseignants prennent le temps d'expliciter les choix faits lors de cette démarche de modélisation. Les auteurs donnent aussi les points de vue, souvent proches, d'élèves de seconde et d'enseignants sur ce qu'est la physique et sur ce qu'estun modèle. Comme aboutissement de ce travail, une carte conceptuelle est proposée à l'enseignant pour permettre une analyse plus fine des démarches classiques demandées aux élèves lors de leur activité en classe de physique. L'utilisation de cette carte est illustrée sur une courte partie de la séquence proposée

miRCat2: Accurate prediction of plant and animal microRNAs from next-generation sequencing datasets

Motivation: MicroRNAs are a class of ∼21-22 nucleotide small RNAs which are excised from a stable hairpin-like secondary structure. They have important gene regulatory functions and are involved in many pathways including developmental timing, organogenesis and development in eukaryotes. There are several computational tools for miRNA detection from next-generation sequencing (NGS) datasets. However, many of these tools suffer from high false positive and false negative rates. Here we present a novel miRNA prediction algorithm, miRCat2. miRCat2 incorporates a new entropy-based approach to detect miRNA loci, which is designed to cope with the high sequencing depth of current NGS datasets. It has a user-friendly interface and produces graphical representations of the hairpin structure and plots depicting the alignment of sequences on the secondary structure. Results: We tested miRCat2 on a number of animal and plant datasets and present a comparative analysis with miRCat, miRDeep2, miRPlant and miReap. We also use mutants in the miRNA biogenesis pathway to evaluate the predictions of these tools. Results indicate that miRCat2 has an improved accuracy compared with other methods tested. Moreover, miRCat2 predicts several new miRNAs that are differentially expressed in wildtype versus mutants in the miRNA biogenesis pathway. Availability: miRCat2 is part of the UEA small RNA Workbench and is freely available from http://srnaworkbench.cmp.uea.ac.uk

Strong altitudinal partitioning in the distributions of ectomycorrhizal fungi along a short (300 m) elevation gradient

• Changes in species richness and distributions of ectomycorrhizal (ECM) fungal communities along altitudinal gradients have been attributed to changes in both host distributions and abiotic variables. However, few studies have considered altitudinal relationships of ECM fungi associated with a single host to identify the role of abiotic drivers. To address this, ECM fungal communities associated with one host were assessed along five altitudinal transects in Scotland. • Roots of Scots pine (Pinus sylvestris) were collected from sites between 300 and 550–600 m altitude, and ECM fungal communities were identified by 454 pyrosequencing of the fungal internal transcribed spacer (ITS) region. Soil moisture, temperature, pH, carbon : nitrogen (C : N) ratio and organic matter content were measured as potential predictors of fungal species richness and community composition. • Altitude did not affect species richness of ECM fungal communities, but strongly influenced fungal community composition. Shifts in community composition along the altitudinal gradient were most clearly related to changes in soil moisture and temperature. • Our results show that a 300 m altitudinal gradient produced distinct shifts in ECM fungal communities associated with a single host, and that this pattern was strongly related to climatic variables. This finding suggests significant climatic niche partitioning among ECM fungal species

An improved assembly and annotation of the allohexaploid wheat genome identifies complete families of agronomic genes and provides genomic evidence for chromosomal translocations

Advances in genome sequencing and assembly technologies are generating many high-quality genome sequences, but assemblies of large, repeat-rich polyploid genomes, such as that of bread wheat, remain fragmented and incomplete. We have generated a new wheat whole-genome shotgun sequence assembly using a combination of optimized data types and an assembly algorithm designed to deal with large and complex genomes. The new assembly represents >78% of the genome with a scaffold N50 of 88.8 kb that has a high fidelity to the input data. Our new annotation combines strand-specific Illumina RNA-seq and Pacific Biosciences (PacBio) full-length cDNAs to identify 104,091 high-confidence protein-coding genes and 10,156 noncoding RNA genes. We confirmed three known and identified one novel genome rearrangements. Our approach enables the rapid and scalable assembly of wheat genomes, the identification of structural variants, and the definition of complete gene models, all powerful resources for trait analysis and breeding of this key global crop

Environmental metabarcoding reveals contrasting belowground and aboveground fungal communities from poplar at a Hg phytomanagement site

Characterization of microbial communities in stressful conditions at a field level is rather scarce, especially when considering fungal communities from aboveground habitats. We aimed at characterizing fungal communities from different poplar habitats at a Hg-contaminated phytomanagement site by using Illumina-based sequencing, network analysis approach, and direct isolation of Hg-resistant fungal strains. The highest diversity estimated by the Shannon index was found for soil communities, which was negatively affected by soil Hg concentration. Among the significant correlations between soil operational taxonomic units (OTUs) in the co-occurrence network, 80% were negatively correlated revealing dominance of a pattern of mutual exclusion. The fungal communities associated with Populus roots mostly consisted of OTUs from the symbiotic guild, such as members of the Thelephoraceae, thus explaining the lowest diversity found for root communities. Additionally, root communities showed the highest network connectivity index, while rarely detected OTUs from the Glomeromycetes may have a central role in the root network. Unexpectedly high richness and diversity were found for aboveground habitats, compared to the root habitat. The aboveground habitats were dominated by yeasts from the Lalaria, Davidiella, and Bensingtonia genera, not detected in belowground habitats. Leaf and stem habitats were characterized by few dominant OTUs such as those from the Dothideomycete class producing mutual exclusion with other OTUs. Aureobasidium pullulans, one of the dominating OTUs, was further isolated from the leaf habitat, in addition to Nakazawaea populi species, which were found to be Hg resistant. Altogether, these findings will provide an improved point of reference for microbial research on inoculation-based programs of tailings dumps

Diagnostic Tests and their Application in the Management of Soil- and Water-borne Oomycete Pathogen Species

Oomycete diseases cause significant losses across a broad range of crop and aquaculture commodities worldwide. These losses can be greatly reduced by disease management practices steered by accurate and early diagnoses of pathogen presence. Determinations of disease potential can help guide optimal crop rotation regimes, varietal selections, targeted control measures, harvest timings and crop post-harvest handling. Pathogen detection prior to infection can also reduce the incidence of disease epidemics. Classical methods for the isolation of oomycete pathogens are normally deployed only after disease symptom appearance. These processes are often-time consuming, relying on culturing the putative pathogen(s) and the availability of expert taxonomic skills for accurate identification; a situation that frequently results in either delayed application, or routine ‘blanket’ over-application of control measures. Increasing concerns about pesticides in the environment and the food chain, removal or restriction of their usage combined with rising costs have focussed interest in the development and improvement of disease management systems. To be effective, these require timely, accurate and preferably quantitatve diagnoses. A wide range of rapid diagnostic tools, from point of care immunodiagnostic kits to next generation nucleotide sequencing have potential application in oomycete disease management. Here we review currently-available as well as promising new technologies in the context of commercial agricultural production systems, considering the impacts of specific biotic and abiotic and other important factors such as speed and ease of access to information and cost effectivenes

Mycorrhization of fagaceae forests within mediterranean ecosystems

Mediterranean Fagaceae forests are valuable due to their ecological and socioeconomic aspects. Some profitable plant species, such as Castanea (timber and chestnut), Quercus (timber and cork), and Fagus (timber), encounter in this habitat the excellent edaphoclimatic conditions to develop. All Fagaceae plants are commonly associated to ECM fungal species, which are found in these forests in quite stable communities, mainly enriched in Russulaceae and Telephoraceae species. Currently, the Mediterranean Basin is considered as one of the global biodiversity hotspots, since many of their endemic plant species are not found elsewhere and are now under threat. Due to climate changing and introduction of disease agents, Fagaceae forests are facing an adaptation challenge to both biotic and abiotic threats. Although ECM communities are highly disturbed by climate factors and tree disease incidence, they could play an important role in increasing water availability to the plant and also improving plant tree defense against pathogens. Recent advances, namely, on genomics and transcriptomics, are providing tools for increasing the understanding of Fagaceae mycorrhization process and stress responses to biotic and abiotic stresses. Such studies can provide new information for the implementation of the most adequate management policies for protecting threaten Mediterranean forests.info:eu-repo/semantics/publishedVersio

The Use of Genus-Specific Amplicon Pyrosequencing to Assess Phytophthora Species Diversity Using eDNA from Soil and Water in Northern Spain

[EN] Phytophthora is one of the most important and aggressive plant pathogenic genera in agriculture and forestry. Early detection and identification of its pathways of infection and spread are of high importance to minimize the threat they pose to natural ecosystems. eDNA was extracted from soil and water from forests and plantations in the north of Spain. Phytophthora-specific primers were adapted for use in high-throughput Sequencing (HTS). Primers were tested in a control reaction containing eight Phytophthora species and applied to water and soil eDNA samples from northern Spain. Different score coverage threshold values were tested for optimal Phytophthora species separation in a custom-curated database and in the control reaction. Clustering at 99% was the optimal criteria to separate most of the Phytophthora species. Multiple Molecular Operational Taxonomic Units (MOTUs) corresponding to 36 distinct Phytophthora species were amplified in the environmental samples. Pyrosequencing of amplicons from soil samples revealed low Phytophthora diversity (13 species) in comparison with the 35 species detected in water samples. Thirteen of the MOTUs detected in rivers and streams showed no close match to sequences in international sequence databases, revealing that eDNA pyrosequencing is a useful strategy to assess Phytophthora species diversity in natural ecosystems.This project has been supported by the Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (EUPHRESCO-CEP: "Current and Emerging Phytophthoras: Research Supporting Risk Assessment And Risk Management"). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Català, S.; Pérez Sierra, AM.; Abad Campos, P. (2015). The Use of Genus-Specific Amplicon Pyrosequencing to Assess Phytophthora Species Diversity Using eDNA from Soil and Water in Northern Spain. 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Cosmopolitanism of microbial eukaryotes in the global deep seas. Molecular Ecology, 21(5), 1033-1035. doi:10.1111/j.1365-294x.2012.05437.xDavey, M. L., Heegaard, E., Halvorsen, R., Kauserud, H., & Ohlson, M. (2012). Amplicon-pyrosequencing-based detection of compositional shifts in bryophyte-associated fungal communities along an elevation gradient. Molecular Ecology, 22(2), 368-383. doi:10.1111/mec.12122Weber, C. F., Vilgalys, R., & Kuske, C. R. (2013). Changes in Fungal Community Composition in Response to Elevated Atmospheric CO2 and Nitrogen Fertilization Varies with Soil Horizon. Frontiers in Microbiology, 4. doi:10.3389/fmicb.2013.00078Bergmark, L., Poulsen, P. H. B., Al-Soud, W. A., Norman, A., Hansen, L. H., & Sørensen, S. J. (2012). Assessment of the specificity of Burkholderia and Pseudomonas qPCR assays for detection of these genera in soil using 454 pyrosequencing. FEMS Microbiology Letters, 333(1), 77-84. doi:10.1111/j.1574-6968.2012.02601.xLi, L., Abu Al-Soud, W., Bergmark, L., Riber, L., Hansen, L. H., Magid, J., & Sørensen, S. J. (2013). Investigating the Diversity of Pseudomonas spp. in Soil Using Culture Dependent and Independent Techniques. Current Microbiology, 67(4), 423-430. doi:10.1007/s00284-013-0382-xSCHENA, L., HUGHES, K. J. D., & COOKE, D. E. L. (2006). Detection and quantification ofPhytophthora ramorum,P. kernoviae,P. citricolaandP. quercinain symptomatic leaves by multiplex real-time PCR. Molecular Plant Pathology, 7(5), 365-379. doi:10.1111/j.1364-3703.2006.00345.xTooley, P. W., Martin, F. N., Carras, M. M., & Frederick, R. D. (2006). Real-Time Fluorescent Polymerase Chain Reaction Detection ofPhytophthora ramorumandPhytophthora pseudosyringaeUsing Mitochondrial Gene Regions. Phytopathology, 96(4), 336-345. doi:10.1094/phyto-96-0336Pavón, C. F., Babadoost, M., & Lambert, K. N. (2008). Quantification of Phytophthora capsici Oospores in Soil by Sieving-Centrifugation and Real-Time Polymerase Chain Reaction. Plant Disease, 92(1), 143-149. doi:10.1094/pdis-92-1-0143Than, D. J., Hughes, K. J. D., Boonhan, N., Tomlinson, J. A., Woodhall, J. W., & Bellgard, S. E. (2013). A TaqMan real-time PCR assay for the detection ofPhytophthora‘taxon Agathis’ in soil, pathogen of Kauri in New Zealand. Forest Pathology, 43(4), 324-330. doi:10.1111/efp.12034Chen, W., Djama, Z. R., Coffey, M. D., Martin, F. N., Bilodeau, G. J., Radmer, L., … Lévesque, C. A. (2013). Membrane-Based Oligonucleotide Array Developed from Multiple Markers for the Detection of Many Phytophthora Species. Phytopathology, 103(1), 43-54. doi:10.1094/phyto-04-12-0092-rScibetta, S., Schena, L., Chimento, A., Cacciola, S. O., & Cooke, D. E. L. (2012). A molecular method to assess Phytophthora diversity in environmental samples. 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(2011). Phytophthora species in forest streams in Oregon and Alaska. Mycologia, 103(1), 22-35. doi:10.3852/10-013Nechwatal, J., Bakonyi, J., Cacciola, S. O., Cooke, D. E. L., Jung, T., Nagy, Z. Á., … Brasier, C. M. (2012). The morphology, behaviour and molecular phylogeny ofPhytophthorataxon Salixsoil and its redesignation asPhytophthora lacustrissp. nov. Plant Pathology, 62(2), 355-369. doi:10.1111/j.1365-3059.2012.02638.xHuai, W. -x., Tian, G., Hansen, E. M., Zhao, W. -x., Goheen, E. M., Grünwald, N. J., & Cheng, C. (2013). Identification ofPhytophthoraspecies baited and isolated from forest soil and streams in northwestern Yunnan province, China. Forest Pathology, 43(2), 87-103. doi:10.1111/efp.12015Oh, E., Gryzenhout, M., Wingfield, B. D., Wingfield, M. J., & Burgess, T. I. (2013). Surveys of soil and water reveal a goldmine of Phytophthora diversity in South African natural ecosystems. IMA Fungus, 4(1), 123-131. doi:10.5598/imafungus.2013.04.01.1