Search results for "relationship"

showing 10 items of 3616 documents

Identification and molecular characterization of the high-affinity copper transporters family in Solanum lycopersicum

2021

Copper (Cu) plays a key role as cofactor in the plant proteins participating in essential cellular processes, such as electron transport and free radical scavenging. Despite high-affinity Cu transporters (COPTs) being key participants in Cu homeostasis maintenance, very little is known about COPTs in tomato (Solanum lycopersicum) even though it is the most consumed fruit worldwide and this crop is susceptible to suboptimal Cu conditions. In this study, a six-member family of COPT (SlCOPT1-6) was identified and characterized. SlCOPTs have a conserved architecture consisting of three transmembrane domains and β-strains. However, the presence of essential methionine residues, a methionine-enri…

0106 biological sciencesATPaseBiotecnologia agrícolaMolecular ConformationGene ExpressionCOPT01 natural sciencesBiochemistryTomatoStructure-Activity Relationship03 medical and health scienceschemistry.chemical_compoundCopper Transport ProteinsSolanum lycopersicumStructural BiologyGene expressionTomàquetsAmino Acid SequenceHeavy metal stressMolecular BiologyConserved SequencePhylogenyPlant Proteins030304 developmental biology0303 health sciencesMethioninebiologyChemistryfood and beveragesGeneral MedicinePeroxisomeYeastComplementationTransmembrane domainBiochemistryMultigene Familybiology.proteinCopper010606 plant biology & botanyCysteineInternational Journal of Biological Macromolecules
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Control of Erigeron bonariensis with Thymbra capitata, Mentha piperita, Eucalyptus camaldulensis, and Santolina chamaecyparissus Essential Oils

2020

In the search of sustainable and environmentally friendly methods for weed control, there is increasing interest in essential oils (EOs) as an approach to reduce synthetic herbicide use. The phytotoxicity of Thymbra capitata, Mentha piperita, Eucalyptus camaldulensis, and Santolina chamaecyparissus EOs against the noxious weed Erigeron bonariensis were evaluated in pre- and post-emergence assays in greenhouse conditions. The EOs were applied at 2, 4, and 8 &micro

0106 biological sciencesAgricultural IrrigationErigeronPharmaceutical SciencePlant WeedsAsteraceae01 natural sciencesEssential oilAnalytical ChemistrySantolina chamaecyparissusPlantletDrug DiscoveryErigeron bonariensisEucalyptusbiologyNoxious weedMentha piperita04 agricultural and veterinary sciences<i>erigeron bonariensis</i>Weed controlSettore AGR/02 - Agronomia E Coltivazioni ErbaceeHorticultureChemistry (miscellaneous)GerminationEssential oilsMolecular MedicinePhytotoxicityPre-emergenceBOTANICAGerminationArticlelcsh:QD241-441lcsh:Organic chemistryQUIMICA ANALITICAOils VolatilePlant OilsPost-emergencePhysical and Theoretical ChemistryErigeron bonariensiLamiaceaeDose-Response Relationship DrugOrganic Chemistrybiology.organism_classificationSeed germinationNatural herbicideErigeronEucalyptus camaldulensisEmulsifying AgentsCapitata040103 agronomy & agriculture0401 agriculture forestry and fisheriesNatural herbicides010606 plant biology & botany
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Scale dependence of species–area relationships is widespread but generally weak in Palaearctic grasslands

2021

Questions: Species–area relationships (SARs) are fundamental for understanding biodiversity patterns and are generally well described by a power law with a constant exponent z. However, z-values sometimes vary across spatial scales. We asked whether there is a general scale dependence of z-values at fine spatial grains and which potential drivers influence it. Location: Palaearctic biogeographic realm. Methods: We used 6,696 nested-plot series of vascular plants, bryophytes and lichens from the GrassPlot database with two or more grain sizes, ranging from 0.0001 m² to 1,024 m² and covering diverse open habitats. The plots were recorded with two widespread sampling approaches (rooted presenc…

0106 biological sciencesBeta diversityGLM generalized linear model grasslands SAR species area relationship333.7: Landflächen NaturerholungsgebieteGrassPlotBeta diversityPlant Science010603 evolutionary biology01 natural sciencesSpecies-area curveGrasslandPower lawScale dependencevegetationComputingMilieux_MISCELLANEOUSspecies–area relationshipRooted presenceSpecies–area relationshipgeographygeography.geographical_feature_categoryVegetationpower lawEcologyEcologyShoot presenceVegetation15. Life on landZ-valueGrasslandrooted presencePalaearctic580: Pflanzen (Botanik)scale dependencez-valueSettore BIO/03 - Botanica Ambientale E Applicatabeta diversity[SDE.BE]Environmental Sciences/Biodiversity and EcologygrasslandHeterogeneityScale (map)shoot presence010606 plant biology & botany
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GrassPlot – a database of multi-scale plant diversity in Palaearctic grasslands

2018

GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (relevés) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001; ... 1,000 m²) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes a…

0106 biological sciencesBiodiversityPlant Sciencecomputer.software_genre01 natural sciencesGrasslandSAMPLING-DESIGNRICHNESSEcoinformaticsddc:550biodiversity; European Vegetation Archive (EVA); Eurasian Dry Grassland Group (EDGG); grassland vegetation; GrassPlot; macroecology; multi-taxon; nested plot; scale-dependence; species-area relationship (SAR); sPlot; vegetation-plot databasescale-dependenceMacroecologybiodiversity2. Zero hungerSCALE DEPENDENCEgeography.geographical_feature_categoryDatabaseVegetationspecies-area relationship (SAR)Grasslandnested plotGeographymacroecologyInstitut für GeowissenschaftenEurasian Dry Grassland Group (EDGG)vegetation-plot database.EUROPEGrassPlotbiodiversity ; European Vegetation Archive (EVA) ; Eurasian Dry Grassland Group (EDGG) ; grassland vegetation ; GrassPlot ; macroecology ; multi-taxon ; nested plot scale-dependence ; species-area relationship (SAR) ; sPlot ; vegetation-plot database010603 evolutionary biologyEcoinformaticsmulti-taxon577: ÖkologieMETAANALYSISENVIRONMENTData collectionsPlotgrass- land vegetationDRY GRASSLANDSgrassland vegetationvegetation-plot database15. Life on landbiodiversity • European Vegetation Archive (EVA) • Eurasian Dry Grassland Group (EDGG) • grassland vegetation • GrassPlot • macroecology • multi-taxon • nested plot • scale-dependence • species-area relationship (SAR) • sPlot • vegetation-plot databaseMetadataPATTERNSSPECIES-AREA RELATIONSHIPSNested plot scale-dependenceVEGETATIONSpecies richnesscomputerbiodiversity; European Vegetation Archive (EVA); Eurasian Dry Grassland Group (EDGG); grassland vegetation; GrassPlot; macroecology; multi-taxon; nested plot scale-dependence; species-area relationship (SAR); sPlot; vegetation-plot database.010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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Fine‐grain beta diversity of Palaearctic grassland vegetation

2021

QUESTIONS: Which environmental factors influence fine-grain beta diversity of vegetation and do they vary among taxonomic groups? LOCATION: Palaearctic biogeographic realm. METHODS: We extracted 4,654 nested-plot series with at least four different grain sizes between 0.0001 m² and 1,024 m² from the GrassPlot database, covering a wide range of different grassland and other open habitat types. We derived extensive environmental and structural information for these series. For each series and four taxonomic groups (vascular plants, bryophytes, lichens, all), we calculated the slope parameter (z-value) of the power law species–area relationship (SAR), as a beta diversity measure. We tested whe…

0106 biological sciencesCzechAgriculture and Food SciencesFine grainelevation333.7: Landflächen NaturerholungsgebietehabitatPlant ScienceMaster planFine-grain beta diversity01 natural sciencesScale dependenceevolutionaryRICHNESSvascular plantsHABITATMacroecologyComputingMilieux_MISCELLANEOUSmedia_commonMean occupancyProductivity2. Zero hungerdisturbance0303 health sciencesEcologySettore BIO/02 - Botanica SistematicaEnvironmental researchPalaearctic grasslanddifferentiationenvironmental heterogeneityspecies-area relationship (SAR)gradientDIFFERENTIATION580: Pflanzen (Botanik)disturbance; elevation; fine-grain beta diversity; heterogeneity; land use; macroecology; mean occupancy; Palaearctic grassland; productivity; scale dependence; species–area relationship (SAR); z-valuescale dependencelanguagemacroecologyproductivitymedia_common.quotation_subjectmean occupancyLibrary scienceSpecies–area relationship (SAR)Environmental drivers Grasslands Lichens Mosses Species-area relationship SAR Vascular Plands010603 evolutionary biologySpecies-area curve03 medical and health sciencesspecies–area relationship (SAR)ExcellencePolitical scienceGRADIENTSlovak030304 developmental biologyspatial scalefine-grain beta diversityBiology and Life Sciencesland useDisturbance15. Life on landZ-valuelanguage.human_languageENVIRONMENTAL HETEROGENEITYEarth and Environmental Sciencesz-valueElevationLand useEVOLUTIONARYSPATIAL SCALESPECIES-AREA RELATIONSHIPSVASCULAR PLANTS[SDE.BE]Environmental Sciences/Biodiversity and EcologyheterogeneityHeterogeneityrichness
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Trail-following pheromones in basal termites, with special reference to Mastotermes darwiniensis

2007

0098-0331 (Print) Journal Article; In the framework of an evolutionary study, trail pheromones have been studied in the most basal extant termite, Mastotermes darwiniensis (Mastotermitidae), and two other basal termites, the Termopsidae Porotermes adamsoni (Porotermitinae) and Stolotermes victoriensis (Stolotermitinae). Although workers of M. darwiniensis do not walk in single file while exploring a new environment under experimental conditions and are unable to follow artificial trails in 'open field' experiments, they do secrete a trail-following pheromone from their sternal glands. This unique behavior might reflect a primitive function of communication of the sternal gland. The major co…

0106 biological sciencesFatty Acids/chemistry/pharmacologyPHYLOGENYIsoptera/*physiologyTermopsidaeCHEMICAL COMMUNICATIONZoologyKalotermitidaeIsopteraTrail pheromoneMotor Activity010603 evolutionary biology01 natural sciencesBiochemistryPheromonesDose-Response RelationshipMastotermes darwiniensis[SDV.IDA]Life Sciences [q-bio]/Food engineering(E)-2610-TRIMETHYL-59-UNDECADIEN-1-OLAnimals[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringFORAGING BEHAVIORSTOLOTERMES VICTOTRIENSISEcology Evolution Behavior and SystematicsSTERNAL GLANDBehaviorbiologyBehavior AnimalDose-Response Relationship DrugEcologyFatty AcidsPOROTERMES ADAMSONIGeneral Medicinebiology.organism_classification010602 entomologyTermitidaeSex pheromonePheromonePheromones/chemistry/*pharmacologyDrugAnimal/*drug effects/physiologyRhinotermitidaeMotor Activity/*drug effects/physiology
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Dimensions of invasiveness: Links between local abundance, geographic range size, and habitat breadth in Europe's alien and native floras.

2021

Understanding drivers of success for alien species can inform on potential future invasions. Recent conceptual advances highlight that species may achieve invasiveness via performance along at least three distinct dimensions: 1) local abundance, 2) geographic range size, and 3) habitat breadth in naturalized distributions. Associations among these dimensions and the factors that determine success in each have yet to be assessed at large geographic scales. Here, we combine data from over one million vegetation plots covering the extent of Europe and its habitat diversity with databases on species' distributions, traits, and historical origins to provide a comprehensive assessment of invasive…

0106 biological sciencesFloraenemy release[SDE.MCG]Environmental Sciences/Global Changesmedia_common.quotation_subjectEnemy releaseinvasion successforms of raritydistribution–abundance relationshipenemy releaseleaf economic spectrumPlant Ecology and Nature Conservation[SDV.BID]Life Sciences [q-bio]/BiodiversityAlienLeaf economic spectrumdistribution–abundance relationshipinvasion success forms of rarity distribution–abundance relationship enemy release leaf economic spectrum010603 evolutionary biology01 natural sciencesAbundance (ecology)ddc:570invasion success forms of rarity distribution-abundance relationship enemy release leaf economic spectrumforms of rarityForms of rarityInvasion successAlien speciesEcosystemmedia_common[SDV.EE]Life Sciences [q-bio]/Ecology environmentMultidisciplinaryleaf economic spectrumEcologydistribution-abundance relationship; enemy release; forms of rarity; invasion success; leaf economic spectrum010604 marine biology & hydrobiologyVegetation15. Life on landPlantsBiological SciencesDistribution-abundance relationshipDefensieEuropePhylogeography580: Pflanzen (Botanik)GeographyHabitatdistribution-abundance relationshipinvasion successPlantenecologie en Natuurbeheer[SDE.BE]Environmental Sciences/Biodiversity and EcologyIntroduced SpeciesDistribution–Abundance relationshipDiversity (politics)Proceedings of the National Academy of Sciences of the United States of America
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Genetic diversity of fig (Ficus caricaL.) genotypes grown in Southern Italy revealed by the use of SSR markers

2017

The genetic variability among 181 fig (Ficus carica L.) accessions found in small farms located in Campania, Basilicata, Apulia, Calabria and Sicily was investigated analysing the polymorphism of 18 simple sequence repeat (SSR) markers. The SSR analysis revealed a large genetic diversity among accessions. A total of 117 alleles were detected with a mean of 6.5 locus-1. The average expected (He) and observed heterozygosity (Ho) were 0.56 and 0.66, respectively. The mean polymorphic information content (PIC) was 0.51, suggesting a significant molecular diversity among the fig accessions taken into consideration. The UPGMA cluster analysis discriminated 174 genotypes and allowed to find 8 grou…

0106 biological sciencesGenetic diversityFicus04 agricultural and veterinary sciencesHorticultureBiologybiology.organism_classification01 natural sciencesSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeHorticultureSettore AGR/07 - Genetica AgrariaBotanyGenotype040103 agronomy & agriculture0401 agriculture forestry and fisheriesgermplasm genetic resources genetic relationships microsatellites.Carica010606 plant biology & botanyActa Horticulturae
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Does catchment geodiversity foster stream biodiversity?

2019

Abstract Context One approach to maintain the resilience of biotic communities is to protect the variability of abiotic characteristics of Earth’s surface, i.e. geodiversity. In terrestrial environments, the relationship between geodiversity and biodiversity is well recognized. In streams, the abiotic properties of upstream catchments influence stream communities, but the relationships between catchment geodiversity and aquatic biodiversity have not been previously tested. Objectives The aim was to compare the effects of local environmental and catchment variables on stream biodiversity. We specifically explored the usefulness of catchment geodiversity in explaining the species richness on …

0106 biological sciencesGeography Planning and DevelopmentDrainage basinBiodiversity01 natural sciencesbakteeritfreshwatersspecies richnessbacteriaSCALEAbiotic componentFreshwatersgeography.geographical_feature_categoryCLIMATE-CHANGEEcologyMacroinvertebratesEcologyenvironmental heterogeneityselkärangattomatgeodiversiteettiHabitatCatchment featuresvirtavedet1181 Ecology evolutionary biologyBENTHIC MACROINVERTEBRATE ASSEMBLAGESvaluma-alueetmacroinvertebratesCONTEXT DEPENDENCY010603 evolutionary biologydiatomsPLANT-SPECIES RICHNESSpiilevätcatchment features1172 Environmental sciencesNature and Landscape ConservationDiatomsgeographyLand useBacteriaFRESH-WATER BIODIVERSITYLAND-USELANDSCAPE010604 marine biology & hydrobiologyEnvironmental heterogeneity15. Life on landCOMMUNITY-ENVIRONMENT RELATIONSHIPSluonnon monimuotoisuusbiodiversiteettiGeodiversity13. Climate actionSpecies richnessLandscape ecologySpecies richnessMICROBIAL DIVERSITY
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The response of cultured meiofaunal and benthic foraminiferal communities to lead exposure: Results from mesocosm experiments

2018

Lead (Pb) has been regarded as a very toxic element that poses a serious threat to biota. A mesocosm experiment is performed to assess the influence of Pb on meiofaunal (metazoans within 45-500 µm) and benthic foraminiferal (protozoans) communities. To this end, sediments bearing such communities are incubated in mesocosms, exposed to different levels of Pb in seawater, and monitored for up to eight weeks. Concentrations of Pb below 1 ppm in water do not promote a significant increase of this metal in sediments. Relatively high concentrations of Pb seem to affect meiofaunal and benthic foraminiferal communities by reducing their richness or diversity, and the abundance of the most sensitive…

0106 biological sciencesGeologic SedimentsHealth Toxicology and MutagenesisMeiobenthosmeiofauna; foraminifera; lead; mesocosm; sedimentForaminifera010501 environmental sciences01 natural sciencesMesocosmForaminiferaMediterranean SeaEnvironmental ChemistrySeawater0105 earth and related environmental sciencesPollutantDose-Response Relationship Drugbiology010604 marine biology & hydrobiologySedimentBiotaBiodiversityModels Theoreticalbiology.organism_classificationmesocosmsedimentLeadBenthic zoneEnvironmental chemistrymeiofaunaEnvironmental scienceSeawaterWater Pollutants ChemicalEnvironmental MonitoringEnvironmental Toxicology and Chemistry
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