Search results for "interaction [parton]"

showing 10 items of 174 documents

Monte Carlo Simulations of Au38(SCH3)24 Nanocluster Using Distance-Based Machine Learning Methods

2020

We present an implementation of distance-based machine learning (ML) methods to create a realistic atomistic interaction potential to be used in Monte Carlo simulations of thermal dynamics of thiol...

010304 chemical physicsbusiness.industryChemistryMonte Carlo methodThermal dynamics010402 general chemistryMachine learningcomputer.software_genre01 natural sciences0104 chemical sciencesInteraction potential0103 physical sciencesCluster (physics)Artificial intelligencePhysical and Theoretical ChemistrybusinesscomputerDistance basedThe Journal of Physical Chemistry A
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Identifying Early Warning Signals for the Sudden Transition from Mild to Severe Tobacco Etch Disease by Dynamical Network Biomarkers

2019

This article belongs to the Special Issue The Complexity of the Potyviral Interaction Network.

0106 biological sciences0301 basic medicineComplex systemsSystems biologyPotyvirusDiseaseBiologytobacco etch virusSeverity of Illness Index01 natural sciencesArticlePlant VirusesTranscriptomeViral Proteins03 medical and health sciencesPlant-virus interactionpotyvirusGene Expression Regulation PlantVirologyProtein Interaction MappingTobaccoGene Regulatory NetworksProtein Interaction Mapscomplex systemsGenePlant DiseasesGeneticsTransition (genetics)Tobacco etch virusGene Expression Profilingsystems biologyDNBBiotic stressresponse to infectionbiology.organism_classificationplant-virus interactionTobacco etch virusphase transitionsprotein-protein interaction networks030104 developmental biologyInfectious DiseasesPhase transitionsHost-Pathogen InteractionsMutationBiomarker (medicine)BiomarkersSignal Transduction010606 plant biology & botanyViruses
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Gaining Insight into Exclusive and Common Transcriptomic Features Linked with Biotic Stress Responses in Malus

2017

Identifying key information in transcriptomic data is very important, especially when the “omic” study deals with plant responses to stresses in field conditions where a high number of variables and disturbing factors may affect the analysis. In this meta-analysis we collected 12 transcriptomic works in Malus in order to identify which key genes, proteins, gene categories are involved in general plant pathological conditions and those features linked with exclusive biotic stress responses. Those genes that are only related with molecular responses to pathogen attacks and those linked with other plant physiological processes were identified. A pipeline composed by pathway and gene set enrich…

0106 biological sciences0301 basic medicineMalusPlant ScienceComputational biologylcsh:Plant cultureErwinia01 natural sciencesTranscriptometranscriptomics03 medical and health sciencesSettore AGR/07 - Genetica AgrariaHeat shock proteinBotanylcsh:SB1-1110GeneTranscription factorOriginal Researchbiologybiotic stresses; Malus; meta-analysis; protein-protein interaction network; transcriptomicsfood and beveragesBiotic stressbiotic stressesbiology.organism_classificationmeta-analysisCrosstalk (biology)030104 developmental biologyMalusbiotic stresses Malus meta-analysis protein-protein interaction network transcriptomicsprotein-protein interaction network010606 plant biology & botanyFrontiers in Plant Science
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Molecular signatures of silencing suppression degeneracy from a complex RNA virus

2021

As genomic architectures become more complex, they begin to accumulate degenerate and redundant elements. However, analyses of the molecular mechanisms underlying these genetic architecture features remain scarce, especially in compact but sufficiently complex genomes. In the present study, we followed a proteomic approach together with a computational network analysis to reveal molecular signatures of protein function degeneracy from a plant virus (as virus-host protein-protein interactions). We employed affinity purification coupled to mass spectrometry to detect several host factors interacting with two proteins of Citrus tristeza virus (p20 and p25) that are known to function as RNA sil…

0106 biological sciences0301 basic medicineProteomicsCitrusInteraction NetworksPathogenesisPlant Sciencemedicine.disease_causePathology and Laboratory Medicine01 natural sciencesInteractomeBiochemistryBimolecular fluorescence complementationRNA interferenceRNA silencing supressorsCitrus tristeza virusMedicine and Health SciencesDegeneracy (biology)Protein Interaction MapsBiology (General)H20 Plant diseasesPlant ProteinsEcologybiologyPlant virusesEukaryotaArgonautePlantsSmall interfering RNANucleic acidsRNA silencingComputational Theory and MathematicsGenetic interferenceExperimental Organism SystemsModeling and SimulationProteomeArgonaute ProteinsHost-Pathogen InteractionsRNA ViralEpigeneticsResearch ArticleClosterovirusRNA virusViral proteinQH301-705.5Arabidopsis ThalianaPlant PathogensComputational biologyGenome ViralBrassicaResearch and Analysis MethodsModels BiologicalPlant Viral Pathogens03 medical and health sciencesCellular and Molecular NeuroscienceViral ProteinsModel OrganismsPlant and Algal ModelsTobaccomedicineGeneticsGenomesNon-coding RNAProtein InteractionsMolecular signaturesMolecular BiologyEcology Evolution Behavior and SystematicsPlant DiseasesHost Microbial InteractionsBiology and life sciencesMass spectrometryOrganismsComputational BiologyProteinsRNA virusPlant Pathologybiology.organism_classificationGene regulationRepressor Proteins030104 developmental biologyU30 Research methodsAnimal StudiesRNAGene expression010606 plant biology & botanyF30 Plant genetics and breeding
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Symbiotic polydnavirus and venom reveal parasitoid to its hyperparasitoids

2018

Symbiotic relationships benefit organisms in utilization of new niches. In parasitoid wasps, symbiotic viruses and venom that are injected together with wasp eggs into the host caterpillar suppress immune responses of the host and enhance parasitoid survival. We found that the virus also has negative effects on offspring survival when placing these interactions in a community context. The virus and venom drive a chain of interactions that includes the herbivore and its food plant and attracts the hyperparasitoid enemies of the parasitoid. Our results shed new light on the importance of symbionts associated with their host in driving ecological interactions and highlight the intricacy of how…

0106 biological sciences0301 basic medicineWasps01 natural sciencesMultitrophic interactionParasitoidHerbivore-induced plant volatilesGene Expression Regulation PlantLaboratory of EntomologyTrophic levelPlant-mediatedLarvaMultidisciplinarybiologyPolydnavirusHerbivore-induced plant volatilePlantsBiological SciencesWaspPE&RCOrganische ChemieBiosystematiekInteraction networkinternationalLarvaSymbiosiButterfliesZoology010603 evolutionary biologyHost-Parasite Interactions03 medical and health sciencesMultitrophic interactionsSymbiosisButterflieAnimalsSymbiosisCaterpillarSalivaEcosystemHerbivoreParasitic waspVenomsHost (biology)AnimalOrganic ChemistryfungiPlantLaboratorium voor Entomologiebiology.organism_classificationVenom030104 developmental biologySettore AGR/11 - Entomologia Generale E ApplicataPolydnaviridaeHerbivoreBiosystematicsEPS
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Structure and vulnerability of the multi‐interaction network in macrophyte‐dominated lakes

2019

The network approach is crucial to understand how ecosystems are structured and how they will respond to the disturbances (e.g. the current global change). We have recreated the multi‐interaction network of a shallow freshwater lake dominated by submerged macrophytes (Charophytes), a known system very vulnerable to environmental changes, considering both trophic and non‐trophic relationships among its elements. To minimize the environmental variability, we established it in an experimental mesocosm, including three habitats: the pelagic, the habitat around the meadow and the periphytic community living on macrophytes. We aimed to study the structure of this network and the roles of its elem…

0106 biological sciencesEcology010604 marine biology & hydrobiology010603 evolutionary biology01 natural sciencesEcological networkMacrophyteHabitatInteraction networkAbundance (ecology)Foundation speciesEnvironmental scienceEcosystemEcology Evolution Behavior and SystematicsTrophic levelOikos
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Different bacteria can enhance the micropropagation response of Cotoneaster lacteus (Rosaceae)

1998

C. MONIER, E. BOSSIS, C. CHABANET AND R. SAMSON. 1998. Cotoneaster species are widely used ornamental shrubs, and research is under way to select genotypes which are more resistant to fire blight by somaclonal variation. During the establishment of micropropagation, one genotype, Cotoneaster lacteus, showed the development of endogenous bacterial contaminants. Two strains were isolated from in vitro explants: Bacillus pumilus and Alcaligenes faecalis. These two strains, and some Pseudomonas fluorescens and Ps. putida, promoted in vitro multiplication and rooting of explants. In Pseudomonas strains, rooting enhancing capacity appeared to be related to indole-3-acetic acid (IAA) production, a…

0106 biological sciencesINTERACTION PLANTE PATHOGENEPseudomonas fluorescens01 natural sciencesApplied Microbiology and BiotechnologySomaclonal variation03 medical and health sciencesBotanyARBUSTE ORNEMENTALCotoneaster lacteus[SDV.MP] Life Sciences [q-bio]/Microbiology and ParasitologyComputingMilieux_MISCELLANEOUS030304 developmental biology0303 health sciencesbiologyBacillus pumilusfood and beveragesGeneral Medicinebiology.organism_classification[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyMicropropagationCotoneasterFire blight010606 plant biology & botanyBiotechnologyExplant culture
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Plasma membrane protein trafficking in plant-microbe interactions: a plant cell point of view

2014

International audience; In order to ensure their physiological and cellular functions, plasma membrane (PM) proteins must be properly conveyed from their site of synthesis, i.e., the endoplasmic reticulum, to their final destination, the PM, through the secretory pathway. PM protein homeostasis also relies on recycling and/or degradation, two processes that are initiated by endocytosis. Vesicular membrane trafficking events to and from the PM have been shown to be altered when plant cells are exposed to mutualistic or pathogenic microbes. In this review, we will describe the fine-tune regulation of such alterations, and their consequence in PM protein activity. We will consider the formatio…

0106 biological sciencesplant–microbe interactions[SDV]Life Sciences [q-bio]signaling proteinsplasma membrane;vesicular trafficking;plant-microbe interactions;signaling proteins;sugar transportersReview Articlerécepteur cytoplasmique et nucléairePlant ScienceBiologymembrane plasmiqueSugar transporterslcsh:Plant cultureEndocytosisBioinformaticsplasma membrane01 natural sciencesPlant-Microbe Interactionsvoie secretoire03 medical and health sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biologylcsh:SB1-1110ReceptorSecretory pathway030304 developmental biologychemistry.chemical_classification0303 health sciencesReactive oxygen speciesphysiologie cellulaire végétaletransport de protéineEndoplasmic reticulumPlant cellTransport proteinCell biologyinteraction protéine membranechemistry[SDE]Environmental Sciencesvesicular traffickingIntracellular010606 plant biology & botanyFrontiers in Plant Science
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Parasitic wasp-associated symbiont affects plant-mediated species interactions between herbivores

2018

Abstract Microbial mutualistic symbiosis is increasingly recognised as a hidden driving force in the ecology of plant–insect interactions. Although plant-associated and herbivore-associated symbionts clearly affect interactions between plants and herbivores, the effects of symbionts associated with higher trophic levels has been largely overlooked. At the third-trophic level, parasitic wasps are a common group of insects that can inject symbiotic viruses (polydnaviruses) and venom into their herbivorous hosts to support parasitoid offspring development. Here, we show that such third-trophic level symbionts act in combination with venom to affect plant-mediated interactions by reducing colon…

0301 basic medicineHerbivore colonisationInsecta[SDV]Life Sciences [q-bio]tritrophic interactionWaspsVenomParasitoidchenilleLaboratory of EntomologyTrophic levelbiologyEcologyPolydnavirusHost-Parasite Interactionfood and beveragesplant–insect interactionsHerbivore colonisation parasitoid plant–insect interactions polydnaviruses tritrophic interactionsPE&RCsymbiosisParasiteinternationalpolydnaviruse[SDE]Environmental Sciencespolydnavirussymbioseécologie des populationsinteraction plante insecteherbivoreplant–insect interactionHost-Parasite Interactions03 medical and health sciencesSymbiosisAnimalsParasitesHerbivoryguêpeCaterpillarparasitoidEcology Evolution Behavior and SystematicsHerbivoreAnimaltritrophic interactionsfungi15. Life on landplant-insect interactionsLaboratorium voor Entomologiebiology.organism_classificationplant insect interactionherbivore colonisationpolydnavirusesColonisationSettore AGR/11 - Entomologia Generale E Applicata030104 developmental biologycaterpillarEPS
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HIPPIE v2.0: Enhancing meaningfulness and reliability of protein-protein interaction networks

2016

The increasing number of experimentally detected interactions between proteins makes it difficult for researchers to extract the interactions relevant for specific biological processes or diseases. This makes it necessary to accompany the large-scale detection of protein-protein interactions (PPIs) with strategies and tools to generate meaningful PPI subnetworks. To this end, we generated the Human Integrated Protein-Protein Interaction rEference or HIPPIE (http://cbdm.uni-mainz.de/hippie/). HIPPIE is a one-stop resource for the generation and interpretation of PPI networks relevant to a specific research question. We provide means to generate highly reliable, context-specific PPI networks …

0301 basic medicineHippieReliability (computer networking)BiologyWeb BrowserBioinformaticsProtein protein interaction networkComputational biology03 medical and health sciences0302 clinical medicineResource (project management)GeneticsHumansDatabase IssueGraph algorithmsProtein Interaction MapsDatabases ProteinResearch questionGraphical user interfacebusiness.industryReproducibility of ResultsData science030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONProtein interaction mappingbusiness030217 neurology & neurosurgeryProtein Interaction MapSoftware
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