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Électromagnétisme, hydrodynamique, MHD et applications à la physique solaire au niveau licence
No full textCette archive comprend tous les fichiers multimédias qui sont à la base des deux MOOC d’électromagnétisme L2 (10 semaines) et d’hydrodynamique L3 (6 semaines) produits en 2016 et 2017 par l’Observatoire de Paris - PSL pour la plateforme FUN MOOC. Ils avaient pour caractéristique de puiser leurs exemples d’application dans la physique solaire et l’astrophysique, que nous fournissons également sous forme de présentations multimédias supplémentaires
meat_microbiomes_F3M_gene_catalog_V1.1.0
No full textThis ready-to-use genes catalog with 82,661 F3M-inferred (version 1.1.0) functional annotations can directly be used for mapping of metatranscriptomic fastQ reads and gene expression data analysis. The catalog has been constructed from the pangenome data of 44 bacterial species (corresponding to 46 specI) among the most commonly found of meat related microbiomes (spoiled or fermented). The species are listed in the metadata file available with the catalog (meat_microbiomes_genes_catalog_F3M_genome_list_V1.1.0.tsv). The catalog is made of three files :
(1) meat_microbiomes_F3M_genes_catalogs_V1_1_0.fasta;
(2) meat_microbiomes_f3m_genes_catalog_V1_1_0_funct_annotations.tsv (for the F3M annotations) and
(3) meat_microbiomes_f3m_genes_catalog_V1_1_0_gtdb_classification.tsv (for the GTDB taxonomy)
Genetic influence underlying individual variation in vaccine responses in a White Leghorn laying hen line
No full textVaccination is an essential part of poultry health, yet considerable variability in vaccine efficacy among individuals poses challenges for disease control and productivity. The genetic basis underlying this variability remains poorly understood. This study aimed at providing new insights into the genetic architecture underlying vaccine responses in poultry by identifying the genetic loci controlling the immune response to several vaccines. To reach this purpose, we studied 537 White Leghorn hens, focusing on vaccines against Newcastle Disease Virus (NDV), Infectious Bronchitis Virus (IBV), Avian Encephalomyelitis Virus (AEV), and Avian Pneumovirus (APV). Humoral immune responses were assessed for all vaccinations at multiple post-vaccination time points, and cellular immune responses were evaluated for the NDV vaccine at the end of the experiment. Important individual variabilities in vaccine responses were observed within this population, with some animals failing to mount antibody responses to the vaccinations. Heritability estimates among responder animals for antibody levels treated as a continuous trait (51 to 472 animals) indicated low to moderate genetic influence (0.00-0.39), whereas analysing vaccine response as a binary trait (392 to 537 animals) distinguishing responders from non-responders revealed a moderate to high genetic contribution (0.22-0.40). Furthermore, genetic and phenotypic correlation analyses revealed complex relationships among vaccine response traits, including weak positive and even negative genetic correlations, both across different vaccines and within the same vaccination at different time points. Genome-wide association studies (GWAS) identified significant quantitative trait loci (QTL) on chromosomes 1, 4, 5, 8, 11, 15, and 28, associated with immune traits. QTLs were detected for both levels of the response and responders vs non-responder’s traits. Functional annotation of these loci highlighted several genes of interest, including MKNK1, TRABD2B, BRCA2, ROBO1, HMGB1, MAPK3, CLEC3A, MAF, ZAP-70, and RFX2, as well as the non-coding RNA vaultRNA, all of which may contribute to immune response variability. In addition, Gene Set Enrichment Analysis identified immune-related pathways, particularly those involved in T-cell responses and plasmacytoid dendritic cell activation, further supporting the role of genetic regulation in vaccine-induced immunity. These findings demonstrate that a complex genetic regulation significantly contributes to vaccine response variability in White Leghorn hens. By pinpointing candidate genes and pathways, this study shows that incorporating immune traits into selective breeding programs may ultimately contribute to improved vaccine efficacy in production systems
FAZ11343 - supplementary material
No full textKey-files obtained during the analysis (see details in README.txt file
New IPM taxonomy layers proposals from the projects review
No full textReviewing selected European and national projects and reporting the practices studied in it, practices that could not be classified under the existing IPM taxonomy have been grouped into proposals for new layers, that are shown here
Soil_Suitability_Map_250m
No full textSoil suitability of the Greater Mediterranean Region based on Landsat (250m
Metabolites characterization in boosting orphan legumes from the Mediterranean Basin: INRAE 2024 trial datasets of accession Forrimax
No full textResults of the greenhouse trial on Forrimax accession at INRAE-Versailles/ France
The trial was conducted from september 2023 to March 2024.
These data refer to metabolites (Chlorophyll, Anthocyanins, Flavonols and NBI ratio) measurements in Forrimax accession.
The dataset is organised following the MIAPPE (Minimum Information About Plant Phenotyping Experiments)
The biological material file contains the information on the biological materials used for the trial.
The study and the observed variables files explains the observed variables and describe the study.
In the dataset file, the study_ID and the biologicalmaterial_ID refers to the identification of the trial from which the dataset is build.
The "Species_ID" column refers to the specy used in the study.
The "Accessions" column refers to the accession used in the study.
The "Treatment_ID" column refers to the treatment that is applied.
The "Days" columns refers to the different stage of development of the plant when the metabolites measurements are collected.
The 'Chlorophyll', 'Anthocyanins', 'Flavonols' and 'NBI (Nitrogen Balance Ratio)' columns refer to the measurement results of each of these metabolites. The measurement unit is µg/cm².
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Replication data for: Harnessing ecological niche modeling of Listeria monocytogenes for biopreservation system engineering
No full textIn this study, a luminescent strain of Listeria monocytogenes was utilized in a multivariate high-throughput competition assay, assessing a combination of abiotic factors (i.e. glucose, NaCl, pH in a factorial design) and biotic variables (i.e. various competing microorganisms). The resulting data were analyzed using two parallel methods: k-means clustering and Response Surface Modeling (RSM)
TransformON
No full textTransformON est une ontologie de domaine s'appuyant sur le modèle core PO2 qui permet de décrire les procédés de transformation et la caractérisation des produits issus de la biomasse.TransformON is a domain ontology based on the PO2 core model for describing transformation processes and the characterization of biomass products (either food or non-food products)