Search results for "CQ"

showing 10 items of 1801 documents

Preferential induction of 20S proteasome subunits during elicitation of plant defense reactions: towards the characterization of "plant defense prote…

2003

Plants have evolved efficient mechanisms to resist pathogens. The earliest defense response is the hypersensitive response (HR) considered as the main step leading to plant systemic acquired resistance (SAR) that protects the whole plant against a large spectrum of pathogens. We showed previously that elicitation of defense reactions in tobacco cells by cryptogein, a proteinaceous elicitor of plant defense reactions, leads to a rapid and differential accumulation of transcripts corresponding to genes encoding defense-induced (din) subunits of 20S proteasome: beta1din, alpha3din and alpha6din.Here, expression of these three subunits was investigated by Northern blotting and by Western blotti…

0106 biological sciencesHypersensitive responseProteasome Endopeptidase Complex[SDV]Life Sciences [q-bio]Protein subunitBlotting WesternGene ExpressionBiology01 natural sciencesBiochemistryMixed Function OxygenasesFungal Proteins03 medical and health sciencesMultienzyme ComplexesTobaccoPlant defense against herbivoryElectrophoresis Gel Two-DimensionalNorthern blotComputingMilieux_MISCELLANEOUS030304 developmental biology0303 health sciencesAlgal ProteinsProteinsCell BiologyBlotting NorthernMolecular biologyCell biologyElicitor[SDV] Life Sciences [q-bio]BlotPlant LeavesTobacco Mosaic VirusCysteine EndopeptidasesProteasomeEnzyme InductionREPONSE DE LA PLANTESystemic acquired resistance010606 plant biology & botanyPeptide HydrolasesThe international journal of biochemistrycell biology
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Hantavirus infections in fluctuating host populations: the role of maternal antibodies.

2010

Infected females may transfer maternal antibodies (MatAbs) to their offspring, which may then be transiently protected against infections the mother has encountered. However, the role of maternal protection in infectious disease dynamics in wildlife has largely been neglected. Here, we investigate the effects of Puumala hantavirus (PUUV)-specific MatAbs on PUUV dynamics, using 7 years' data from a cyclic bank vole population in Finland. For the first time to our knowledge, we partition seropositivity data from a natural population into separate dynamic patterns for MatAbs and infection. The likelihood of young of the year carrying PUUV-specific MatAbs during the breeding season correlated p…

0106 biological sciencesMaleOrthohantavirusHantavirus InfectionsPopulationPrevalenceZoologyAntibodies Viral010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyRodent Diseases03 medical and health sciencesPregnancySeroepidemiologic StudiesSeasonal breederAnimalseducationFinlandResearch Articles030304 developmental biologyGeneral Environmental ScienceHantavirus0303 health scienceseducation.field_of_studyGeneral Immunology and MicrobiologybiologySin Nombre virusArvicolinaeBody WeightGeneral Medicinebiology.organism_classificationBank voleNatural population growthAnimals NewbornImmunologyRegression AnalysisFemaleSeasonsGeneral Agricultural and Biological SciencesHantavirus InfectionImmunity Maternally-AcquiredProceedings. Biological sciences
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Relationship between maternal transfer of immunity and mother fecundity in an insect.

2012

Trans-generational immune priming (TGIP) corresponds to the plastic adjustment of offspring immunity as a result of maternal immune experience. TGIP is expected to improve mother's fitness by improving offspring individual performance in an environment where parasitism becomes more prevalent. However, it was recently demonstrated that maternal transfer of immunity to the offspring is costly for immune-challenged female insects. Thus, these females might not provide immune protection to all their offspring because of the inherent cost of other fitness-related traits. Females are therefore expected to adjust their investment to individual offspring immune protection in ways that maximize the…

0106 biological sciencesMealwormLipopolysaccharidesOffspringmedia_common.quotation_subjectanimal diseasesZoologyParasitismchemical and pharmacologic phenomenaecological immunologyInsectBiology[ SDV.IMM.IA ] Life Sciences [q-bio]/Immunology/Adaptive immunology010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesImmune systemtrans-generational immune primingImmunity[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsArthrobacterTenebrioResearch Articles030304 developmental biologyGeneral Environmental Sciencemedia_commonOvuminsect immunity0303 health sciences[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyGeneral Immunology and MicrobiologyMaternal effectGeneral Medicinebiochemical phenomena metabolism and nutritionFecunditybiology.organism_classificationFertility[SDV.IMM.IA]Life Sciences [q-bio]/Immunology/Adaptive immunologyImmunologybacteriamaternal effectsFemale[SDE.BE]Environmental Sciences/Biodiversity and EcologyGeneral Agricultural and Biological SciencesImmunity Maternally-Acquired[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Evolution of mammal tooth patterns: new insights from a developmental prediction model.

2009

14 pages.; International audience; The study of mammalian evolution is often based on insights into the evolution of teeth. Developmental studies may attempt to address the mechanisms that guide evolutionary changes. One example is the new developmental model proposed by Kavanagh et al. (2007), which provides a high-level testable model to predict mammalian tooth evolution. It is constructed on an inhibitory cascade model based on a dynamic balance of activators and inhibitors, regulating differences in molar size along the lower dental row. Nevertheless, molar sizes in some mammals differ from this inhibitory cascade model, in particular in voles. The aim of this study is to point out arvi…

0106 biological sciencesMolarZoologyBiology010603 evolutionary biology01 natural sciencesModels Biological03 medical and health sciencesMicestomatognathic systemMammal toothCricetinaeevolutionGeneticsAnimalsOdontometryrodents.[ SDV.BDD ] Life Sciences [q-bio]/Development Biology[SDV.BDD]Life Sciences [q-bio]/Development BiologyEcology Evolution Behavior and Systematics[ SDU.STU.PG ] Sciences of the Universe [physics]/Earth Sciences/Paleontology030304 developmental biology0303 health sciencesArvicolinaeFossils[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]evo-devoEvolution of mammalsinhibitory cascadeBiological Evolution[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Rapid acquisitionEvolutionary biologyrodentsEvolutionary developmental biology[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/PaleontologyGeneral Agricultural and Biological SciencesToothEvolution; international journal of organic evolution
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NO contributes to cadmium toxicity in Arabidopsis thaliana by mediating an iron deprivation response

2009

Nitric oxide (NO) functions as a cell-signaling molecule in plants. In particular, a role for NO in the regulation of iron homeostasis and in the plant response to toxic metals has been proposed. Here, we investigated the synthesis and the role of NO in plants exposed to cadmium (Cd(2+)), a nonessential and toxic metal. We demonstrate that Cd(2+) induces NO synthesis in roots and leaves of Arabidopsis (Arabidopsis thaliana) seedlings. This production, which is sensitive to NO synthase inhibitors, does not involve nitrate reductase and AtNOA1 but requires IRT1, encoding a major plasma membrane transporter for iron but also Cd(2+). By analyzing the incidence of NO scavenging or inhibition of …

0106 biological sciencesPRIVATION DE FERIronOXYDE NITRIQUE (NO)Arabidopsischemistry.chemical_elementPlant ScienceOxidative phosphorylationBiologyBioinformaticsGenes PlantNitric Oxide01 natural sciencesModels BiologicalPlant RootsNitric oxide[SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics03 medical and health scienceschemistry.chemical_compoundGene Expression Regulation PlantArabidopsis thalianaGene030304 developmental biology0303 health sciencesCadmiumARABIDOPSIS THALIANATransporterEndogenous mediatorbiology.organism_classificationCell biologyArticle AddendumUp-RegulationPlant LeavesNG-Nitroarginine Methyl EsterchemistryIron acquisitionResearch Article010606 plant biology & botanyCadmium
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Physiological and Molecular Characteristics of Elicitin-Induced Systemic Acquired Resistance in Tobacco

1996

Elicitins are low molecular weight proteins secreted by all Phytophthora species analyzed so far. Application of the purified proteins to tobacco Nicotiana tabacum leads to the induction of resistance to subsequent inoculations with the black shank-causing agent, Phytophthora parasitica var nicotianae. In this paper, we describe the systemic characteristics of elicitin-induced acquired resistance in tobacco. Elicitin application is followed by the rapid translocation of the protein in the plant. The basic elicitin, cryptogein, induces necrosis formation in the leaves, which results from accumulation of the protein in these organs. Necrosis does not seem to be essential for the establishment…

0106 biological sciencesPhysiologyNicotiana tabacumPlant Science01 natural sciences[SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics03 medical and health sciences[SDV.GEN.GPL] Life Sciences [q-bio]/Genetics/Plants geneticsGene expressionBotanyGeneticsGeneComputingMilieux_MISCELLANEOUS030304 developmental biology0303 health sciencesbiologyINDUCTIONfungiElicitinPhytophthora nicotianaebiology.organism_classificationCell biologyPhytophthoraRESISTANCESystemic acquired resistanceSolanaceaeResearch Article010606 plant biology & botanyPlant Physiology
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Plant functional trait response to environmental drivers across European temperate forest understorey communities

2020

Functional traits respond to environmental drivers, hence evaluating trait-environment relationships across spatial environmental gradients can help to understand how multiple drivers influence plant communities. Global-change drivers such as changes in atmospheric nitrogen deposition occur worldwide, but affect community trait distributions at the local scale, where resources (e.g. light availability) and conditions (e.g. soil pH) also influence plant communities. We investigate how multiple environmental drivers affect community trait responses related to resource acquisition (plant height, specific leaf area (SLA), woodiness, and mycorrhizal status) and regeneration (seed mass, lateral s…

0106 biological sciencesSpecific leaf areaNitrogenPlant ScienceForestsBiologyTemperate deciduous forestGlobal Warming010603 evolutionary biology01 natural sciencesSoilground vegetationBosecologie en BosbeheerGlobal environmental change/dk/atira/pure/core/keywords/biologyherbaceous layerplant–soil relationsEcosystemEcology Evolution Behavior and Systematics2. Zero hungerEcologyTemperate forestPlant communityGeneral MedicineUnderstoryPlants15. Life on landSoil typePE&RCForest Ecology and Forest ManagementEuropePlant LeavesEcosystems Researchresource acquisition13. Climate actionregenerationLitterSpecies richness010606 plant biology & botany
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Free Radicals Mediate Systemic Acquired Resistance

2014

Summary: Systemic acquired resistance (SAR) is a form of resistance that protects plants against a broad spectrum of secondary infections. However, exploiting SAR for the protection of agriculturally important plants warrants a thorough investigation of the mutual interrelationships among the various signals that mediate SAR. Here, we show that nitric oxide (NO) and reactive oxygen species (ROS) serve as inducers of SAR in a concentration-dependent manner. Thus, genetic mutations that either inhibit NO/ROS production or increase NO accumulation (e.g., a mutation in S-nitrosoglutathione reductase [GSNOR]) abrogate SAR. Different ROS function additively to generate the fatty-acid-derived azel…

0106 biological sciences[SDV]Life Sciences [q-bio]ArabidopsisPseudomonas syringaeReductasemedicine.disease_cause01 natural scienceschemistry.chemical_compoundcuticle formationInducerDicarboxylic Acidsskin and connective tissue diseaseslcsh:QH301-705.5chemistry.chemical_classification0303 health sciencesMutationsalicyclic-acidCell biologydefenseGlutathione ReductaseBiochemistryGlycerophosphates[SDE]Environmental Sciencesplant immunitySystemic acquired resistances-nitrosoglutathioneSecondary infectionnitric-oxidearabidopsis-thalianaBiologyNitric OxideGeneral Biochemistry Genetics and Molecular BiologyNitric oxide03 medical and health sciencesmedicine[SDV.BV]Life Sciences [q-bio]/Vegetal Biology030304 developmental biologyReactive oxygen speciesArabidopsis Proteinsfungicell-deathbody regionschemistrylcsh:Biology (General)azelaic-acidresponsesNitric Oxide SynthaseReactive Oxygen SpeciesFunction (biology)010606 plant biology & botanynitric-oxide;plant immunity;arabidopsis-thaliana;s-nitrosoglutathione;cuticle formation;salicyclic-acid;azelaic-acid;cell-death;responses;defenseCell Reports
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Accelerated bearing life-Time test rig development for low speed data acquisition

2017

Condition monitoring plays an important role in rotating machinery to ensure reliability of the equipment, and to detect fault conditions at an early stage. Although health monitoring methodologies have been thoroughly developed for rotating machinery, low-speed conditions often pose a challenge due to the low signal-to-noise ratio. To this aim, sophisticated algorithms that reduce noise and highlight the bearing faults are necessary to accurately diagnose machines undergoing this condition. In the development phase, sensor data from a healthy and damaged bearing rotating at low-speed is required to verify the performance of such algorithms. A test rig for performing accelerated life-time t…

0209 industrial biotechnologyComputer scienceCondition monitoring and bearing and low-speed machinery and fault diagnosis and test rig; Software; Control and Systems Engineering; Modeling and Simulation; Computer Science Applications1707 Computer Vision and Pattern RecognitionTest rig02 engineering and technologyLow-speed Machinerylcsh:QA75.5-76.95Automotive engineeringlaw.inventionModeling and simulationTest Rig020901 industrial engineering & automationData acquisitionSoftwarelaw0202 electrical engineering electronic engineering information engineeringBearing (mechanical)business.industryCondition monitoring and bearing and low-speed machinery and fault diagnosis and test rig020208 electrical & electronic engineeringLife timeComputer Science Applications1707 Computer Vision and Pattern RecognitionFault DiagnosisComputer Science ApplicationsLow speedControl and Systems EngineeringEmbedded systemModeling and SimulationBearinglcsh:Electronic computers. Computer sciencebusinessCondition MonitoringSoftware
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Autonomous ultrasonic inspection using Bayesian optimisation and robust outlier analysis

2020

The use of robotics is beginning to play a key role in automating the data collection process in Non Destructive Testing (NDT). Increasing the use of automation quickly leads to the gathering of large quantities of data, which makes it inefficient, perhaps even infeasible, for a human to parse the information contained in them. This paper presents a solution to this problem by making the process of NDT data acquisition an autonomous one as opposed to an automatic one. In order to achieve this, the robotic data acquisition task is treated as an optimisation problem, where one seeks to find locations with the highest indication of damage. The resulting algorithm combines damage detection tech…

0209 industrial biotechnologyComputer scienceTKAerospace Engineering02 engineering and technologycomputer.software_genre01 natural sciencesField (computer science)Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine020901 industrial engineering & automationData acquisitionNon-destructive testing (NDT)0103 physical sciencesUltrasoundUncertainty quantificationOutlier analysis010301 acousticsCivil and Structural EngineeringData collectionbusiness.industryMechanical EngineeringProbabilistic logicBayesian optimisationAutomationComputer Science ApplicationsControl and Systems EngineeringSignal ProcessingOutlierStructural health monitoringData miningbusinesscomputerGaussian process (GP) regression
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