Search results for "BIOLOGIE"

showing 10 items of 256 documents

Priming: getting ready for battle

2006

International audience; Infection of plants by necrotizing pathogens or colonization of plant roots with certain beneficial microbes causes the induction of a unique physiological state called “priming.” The primed state can also be induced by treatment of plants with various natural and synthetic compounds. Primed plants display either faster, stronger, or both activation of the various cellular defense responses that are induced following attack by either pathogens or insects or in response to abiotic stress. Although the phenomenon has been known for decades, most progress in our understanding of priming has been made over the past few years. Here, we summarize the current knowledge of p…

0106 biological sciencesInsectaPhysiology[SDV]Life Sciences [q-bio]beta-Aminobutyric acidPriming (agriculture)01 natural sciencesPlant Physiological Phenomenachemistry.chemical_compoundsalicylic acid.ethylenePlant biology (Botany)0303 health sciencesAminobutyratesJasmonic acidfood and beveragesGeneral MedicinePlantsLife sciencesmycorrhizal fungimycorhizeBiologieSignal Transductionacide jasmoniquesalicylic acidBiologyMicrobiology03 medical and health sciencesβ-aminobutyric acidMycorrhizal fungiAnimalsβ-aminobutyric acid;bacterial lipopolysaccharides;ethylene;jasmonic acid;mycorrhizal fungi;salicylic acid.Plant Physiological Phenomena030304 developmental biologyacide aminobutyriquePlant rootsAbiotic stressjasmonic acidfungiEthylenesCellular defenseImmunity Innateß-aminobutyric acidbacterial lipopolysaccharideschemistryéthylènefungiAgronomy and Crop Science010606 plant biology & botanyMolecular Plant-Microbe Interactions
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The Ectocarpus genome and the independent evolution of multicellularity in brown algae

2010

Brown algae (Phaeophyceae) are complex photosynthetic organisms with a very different evolutionary history to green plants, to which they are only distantly related. These seaweeds are the dominant species in rocky coastal ecosystems and they exhibit many interesting adaptations to these, often harsh, environments. Brown algae are also one of only a small number of eukaryotic lineages that have evolved complex multicellularity (Fig. 1). We report the 214 million base pair (Mbp) genome sequence of the filamentous seaweed Ectocarpus siliculosus (Dillwyn) Lyngbye, a model organism for brown algae, closely related to the kelps (Fig. 1). Genome features such as the presence of an extended set of…

0106 biological sciencesLineage (evolution)Molecular Sequence DataPhaeophyta01 natural sciencesGenomeEvolution Molecular03 medical and health sciencesAlgae[SDV.BDD] Life Sciences [q-bio]/Development BiologyBotanyBIOLOGIE CELLULAIREAnimals14. Life underwater[SDV.BDD]Life Sciences [q-bio]/Development Biologyflore marinePhylogenyOrganismComputingMilieux_MISCELLANEOUSphéophycées030304 developmental biology0303 health sciencesGenomeMultidisciplinarybiologyEctocarpus siliculosusAlgal ProteinsEukaryotaPigments BiologicalEctocarpus15. Life on landbiology.organism_classificationBiological EvolutionBrown algaeMulticellular organismEvolutionary biologyalgues brunesBiologieSignal Transduction010606 plant biology & botany
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The Bruce effect revisited: is pregnancy termination in female rodents an adaptation to ensure breeding success after male turnover in low densities?

2017

Pregnancy termination after encountering a strange male, the Bruce effect, is regarded as a counterstrategy of female mammals towards anticipated infanticide. While confirmed in caged rodent pairs, no verification for the Bruce effect existed from experimental field populations of small rodents. We suggest that the effect may be adaptive for breeding rodent females only under specific conditions related to populations with cyclically fluctuating densities. We investigated the occurrence of delay in birth date after experimental turnover of the breeding male under different population composition in bank voles (Myodes glareolus) in large outdoor enclosures: one-male–multiple-females (n = 6 p…

0106 biological sciencesLitter (animal)Malemedia_common.quotation_subjectbreeding strategiesAcclimatizationPopulationInfanticidelapsenmurhaMyodes volesZoologyBruce effectBiology010603 evolutionary biology01 natural sciencesPopulation densitySexual conflict03 medical and health sciences0302 clinical medicinePregnancyAnimalseducationSocial BehaviorInstitut für Biochemie und BiologieEcology Evolution Behavior and Systematicsmedia_commonPopulation Densityeducation.field_of_studySexual conflict030219 obstetrics & reproductive medicineEcologyArvicolinaeReproductionBehavioral Ecology–Original ResearchBreeding strategiesmyodes volesAbortion VeterinarysukupuolivalintaSexual selectionsexual conflictSexual selectionDip testFemaleReproductiondip testInbreedingOecologia
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Discrimination of fish populations using parasites: Random Forests on a ‘predictable’ host-parasite system

2010

SUMMARYWe address the effect of spatial scale and temporal variation on model generality when forming predictive models for fish assignment using a new data mining approach, Random Forests (RF), to variable biological markers (parasite community data). Models were implemented for a fish host-parasite system sampled along the Mediterranean and Atlantic coasts of Spain and were validated using independent datasets. We considered 2 basic classification problems in evaluating the importance of variations in parasite infracommunities for assignment of individual fish to their populations of origin: multiclass (2–5 population models, using 2 seasonal replicates from each of the populations) and 2…

0106 biological sciencesMediterranean climatePopulation DynamicsPopulation01 natural sciencesHost-Parasite Interactions030308 mycology & parasitologyFish Diseases03 medical and health sciencesMediterranean SeaAnimalsParasite hostingParasites14. Life underwatereducationAtlantic OceanEcosystem0303 health scienceseducation.field_of_studybiologyEcology010604 marine biology & hydrobiologyBoops boopsbiology.organism_classificationPerciformesRandom forestInfectious DiseasesPopulation modelSpainSample size determinationSpatial ecologyAnimal Science and ZoologyParasitologyBiologieAlgorithmsParasitology
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Bayesian spatio-temporal approach to identifying fish nurseries by validating persistence areas

2015

Spatial and temporal closures of fish nursery areas to fishing have recently been recognized as useful tools for efficient fisheries management, as they preserve the reproductive potential of populations and increase the recruitment of target species. In order to identify and locate potential nursery areas for spatio-temporal closures, a solid understanding of species− environment relationships is needed, as well as spatial identification of fish nurseries through the application of robust analyses. One way to achieve knowledge of fish nurseries is to analyse the persistence of recruitment hotspots. In this study, we propose the comparison of different spatiotemporal model structures to ass…

0106 biological sciencesMediterranean climatehttp://aims.fao.org/aos/agrovoc/c_28840[SDV]Life Sciences [q-bio]01 natural sciencesMediterranean seaAbundance (ecology)Ecosystem approachEcologybiologyEcologyU10 - Informatique mathématiques et statistiquesinteraction élevage environnementmodèle de distributionMerluccius merlucciushttp://aims.fao.org/aos/agrovoc/c_41529zone de pêcheNursery areasSpatio temporal analysisanalyse bayésienneGeographyGestion des pêchesgestion spatialealevinageFisheries managementFishinganalyse spatiotemporellegestion des ressources naturellesAquatic Science010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026étude comparativeHakeMerluccius merluccius14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Distribution patternapproche ecosystémiqueÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologybiology.organism_classificationBiologie marineFisheryThéorie bayésiennehttp://aims.fao.org/aos/agrovoc/c_9000115M40 - Écologie aquatiqueBayesian hierarchical modellingMarine protected areaSpatial fisheries managementNursery areas;Distribution pattern;Ecosystem approach;Spatial fisheries management;Spatio temporal analysis;Bayesian hierarchical modelling;Merluccius merluccius
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Abundance–variance and abundance–occupancy relationships in a marine host–parasite system: The importance of taxonomy and ecology of transmission

2011

Abundance-occupancy and abundance-variance relationships are two of the most general macroecological patterns capturing essential fundamentals of the structuring of species distributions and are widely documented for free-living animal and plant species populations at different spatial scales. However, empirical data for parasites have been gathered using appropriate sampling designs only recently. We performed analyses across species of the variation in infection parameters and patterns of aggregation of the most widespread parasites in the marine sparid fish Boops boops across seven localities of two marine biogeographical regions, the North East Atlantic and the Mediterranean. We used a …

0106 biological sciencesOccupancyPopulationSpatial distributionModels Biological010603 evolutionary biology01 natural sciencesHost SpecificityHost-Parasite Interactions030308 mycology & parasitologyFish Diseases03 medical and health sciencesAnimalsParasitesSeawaterEcosystem14. Life underwatereducationEcosystem0303 health scienceseducation.field_of_studybiologyEcologyBoops boopsbiology.organism_classificationPerciformesSpatial heterogeneityInfectious DiseasesTaxonParasitologyTaxonomy (biology)BiologieInternational Journal for Parasitology
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Reciprocal interactions between plants and fluorescent pseudomonads in relation to iron in the rhizosphere

2013

SPE EA Section 15 : Engineering the rhizosphere: The "biased rhizosphere" concept Ouvrage en 2 volumes Résumé du livre : Molecular Microbial Ecology of the Rhizosphere covers current knowledge on the molecular basis of plant-microbe interactions in the rhizosphere. Also included in the book are both reviews and research-based chapters describing experimental materials and methods. Edited by a leader in the field, with contributions from authors around the world, Molecular Microbial Ecology of the Rhizosphere brings together the most up-to-date research in this expanding area, and will be a valuable resource for molecular microbiologists and plant soil scientists, as well as upper level stud…

0106 biological sciencesSiderophore[ SDV.BV ] Life Sciences [q-bio]/Vegetal Biologysiderophoremedia_common.quotation_subjectMicroorganismF60 - Physiologie et biochimie végétaleplant nutritionBiology01 natural sciencesCompetition (biology)03 medical and health sciencesironPseudomonasBotany[SDV.BV]Life Sciences [q-bio]/Vegetal Biologymedia_commonMutualism (biology)0303 health sciencesRhizosphere030306 microbiologyP34 - Biologie du solBioavailabilitySoil waterplant healthPlant nutrition010606 plant biology & botany
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The Selaginella Genome Identifies Genetic Changes Associated with the Evolution of Vascular Plants

2011

International audience; Vascular plants appeared ~410 million years ago, then diverged into several lineages of which only two survive: the euphyllophytes (ferns and seed plants) and the lycophytes. We report here the genome sequence of the lycophyte Selaginella moellendorffii (Selaginella), the first nonseed vascular plant genome reported. By comparing gene content in evolutionarily diverse taxa, we found that the transition from a gametophyte- to a sporophyte-dominated life cycle required far fewer new genes than the transition from a nonseed vascular to a flowering plant, whereas secondary metabolic genes expanded extensively and in parallel in the lycophyte and angiosperm lineages. Sela…

0106 biological sciencesSmall RNASELAGINELLA[SDV.BC]Life Sciences [q-bio]/Cellular Biology01 natural sciencesGenome03 medical and health sciencesSelaginella moellendorffiiSelaginellaGENETIQUE VEGETALEGeneInstitut für Biochemie und Biologie030304 developmental biologyGeneticsWhole genome sequencing0303 health sciencesMultidisciplinarybiologyfungiRNAfood and beverages15. Life on landbiology.organism_classificationSELAGINELLA MOELLENDORFFIIRNA editingLYCOPHYTE010606 plant biology & botany
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Priorities for research in soil ecology

2017

The ecological interactions that occur in and with soil are of consequence in many ecosystems on the planet. These interactions provide numerous essential ecosystem services, and the sustainable management of soils has attracted increasing scientific and public attention. Although soil ecology emerged as an independent field of research many decades ago, and we have gained important insights into the functioning of soils, there still are fundamental aspects that need to be better understood to ensure that the ecosystem services that soils provide are not lost and that soils can be used in a sustainable way. In this perspectives paper, we highlight some of the major knowledge gaps that shoul…

0106 biological sciencesaboveground-belowground interactionsSoil biodiversityAboveground-belowground interactionssoil processesWiskundige en Statistische Methoden - Biometris01 natural sciencesEcosystem servicesekosysteemitSoil managementMicrobial ecologyNovel environmentsSoil food webClimate changeGlobal change2. Zero hungerSoil healthbiodiversity–ecosystem functioningEcologySoil Biology04 agricultural and veterinary sciencesSoil processesPE&RCclimate changeekosysteemipalvelutGeographyBiogeographyinternationalSoil managementBiodiversity–ecosystem functioningplant-microbe interactionsSoil Sciencesoil biodiversityChemical ecologyAboveground-belowground interactions; Biodiversity–ecosystem functioning; Biogeography; Chemical ecology; Climate change; Ecosystem services; Global change; Microbial ecology; Novel environments; Plant-microbe interactions; Soil biodiversity; Soil food web; Soil management; Soil processes010603 evolutionary biologyArticleeliömaantiedesoil food webSoil governanceSoil food webSoil ecologyEcosystem servicesMathematical and Statistical Methods - BiometrisEnvironmental planningBodembiologieglobal changeEcology Evolution Behavior and Systematicsmaaperänsuojeluchemical ecology15. Life on landSoil biodiversitybiodiversiteettiekosysteemit (ekologia)mikrobiekologia13. Climate actionSustainable management040103 agronomy & agricultureta1181ilmastonmuutosnovel environments0401 agriculture forestry and fisheriessoil managementPlant-microbe interactions
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Modelling sensitive elasmobranchs habitat

2013

Basic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. In the Mediterranean Sea there is increasing concern over elasmobranch species because their biological (ecological) characteristics make them highly vulnerable to fishing pressure. Their removal could affect the structure and function of marine ecosystems, inducing changes in trophic interactions at the community level due to the selective elimination of predators or prey species, competitors and species replacement. In this study Bayesian hierarchical spatial models are used to map the sensitive habitats of the three most caught elasmobranch spe…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Etmopterus spinaxhabitatAquatic ScienceDistribution des populationshttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus010603 evolutionary biology01 natural sciencesElasmobranch habitatPredationMediterranean seahttp://aims.fao.org/aos/agrovoc/c_38127http://aims.fao.org/aos/agrovoc/c_3041Scyliorhinus caniculaMediterranean SeaVulnerable speciesMarine ecosystem14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Trophic levelhttp://aims.fao.org/aos/agrovoc/c_6113biologyEcologyU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyScyliorhinus caniculabiology.organism_classificationBiologie marinetechnique de prévisionBayesian hierarchical spatial modelSpecies distribution modelingFisheryHabitatThéorie bayésienneGaleus melastomusM40 - Écologie aquatiquehttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117Elasmobranchii
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