Search results for "FT"

showing 10 items of 16187 documents

Random Genetic Drift and Selective Pressures Shaping the Blattabacterium Genome

2018

AbstractEstimates suggest that at least half of all extant insect genera harbor obligate bacterial mutualists. Whereas an endosymbiotic relationship imparts many benefits upon host and symbiont alike, the intracellular lifestyle has profound effects on the bacterial genome. The obligate endosymbiont genome is a product of opposing forces: genes important to host survival are maintained through physiological constraint, contrasted by the fixation of deleterious mutations and genome erosion through random genetic drift. The obligate cockroach endosymbiont, Blattabacterium – providing nutritional augmentation to its host in the form of amino acid synthesis – displays radical genome alterations…

0106 biological sciences0301 basic medicinelcsh:MedicineCockroachesBacterial genome size010603 evolutionary biology01 natural sciencesGenomeArticleEvolution Molecular03 medical and health sciencesBlattabacteriumGenetic driftAnimalslcsh:ScienceSymbiosisGeneMultidisciplinaryObligatebiologyHost (biology)lcsh:RGenetic Driftfungibiology.organism_classificationFixation (population genetics)030104 developmental biologyEvolutionary biologylcsh:QFlavobacteriaceaeGenome BacterialScientific Reports
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Absence inattendue d'espèces endémiques insulaires: Dissémination sur de longues distances chez des espèces de Siphonaria sub-antarctique de haute la…

2018

International audience; Aim: We assess biogeographical patterns, population structure and the range of species in the pulmonate genus Siphonaria across the sub‐Antarctic. We hypothesized that locally endemic cryptic species will be found across the distribution of these direct‐developing limpets in the sub‐Antarctic.Location: The sub‐Antarctic coasts of the Southern Ocean including South America, the Falkland/Malvinas, South Georgia, Kerguelen and Macquarie Islands.Methods: Multi‐locus phylogenetic reconstructions, mtDNA time‐calibrated divergence time estimations and population‐based analyses of Siphonaria populations were used at the scale of the Southern Ocean.Results: We resolve two wid…

0106 biological sciences0301 basic medicinelong-distance dispersal010603 evolutionary biology01 natural sciencesSiphonariaLatitude03 medical and health sciencesSiphonariaGastropodaAntarctic circumpolar currentdirect developers14. Life underwaterpulmonateEndemismEcology Evolution Behavior and Systematics[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologysub-AntarcticEcologybiologyEcologyEuthyneura15. Life on landbiology.organism_classificationSub antarcticrafting030104 developmental biologyGeographyBiological dispersal[SDE.BE]Environmental Sciences/Biodiversity and Ecologyoceanic biogeography
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Use of waggle dance information in honey bees is linked to gene expression in the antennae, but not in the brain.

2021

AbstractCommunication is essential for social animals, but deciding how to utilize information provided by conspecifics is a complex process that depends on environmental and intrinsic factors. Honey bees use a unique form of communication, the waggle dance, to inform nestmates about the location of food sources. However, as in many other animals, experienced individuals often ignore this social information and prefer to rely on prior experiences, i.e. private information. The neurosensory factors that drive the decision to use social information are not yet understood. Here we test whether the decision to use social dance information or private information is linked to gene expression diff…

0106 biological sciences0301 basic medicinemedia_common.quotation_subjectGene ExpressionBiology010603 evolutionary biology01 natural sciencesSocial dance570 Life sciences03 medical and health sciencesPerceptionGeneticsAnimalsAnimal communicationPrivate information retrievalEcology Evolution Behavior and Systematicsmedia_commonCommunicationbusiness.industryBrainWaggle danceCognitionBeesAnimal Communication030104 developmental biologyFoodMushroom bodiesOdorantsSocial animalbusiness570 BiowissenschaftenInformation integrationMolecular ecologyREFERENCES
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How challenging RADseq data turned out to favor coalescent-based species tree inference. A case study in Aichryson (Crassulaceae)

2022

Analysing multiple genomic regions while incorporating detection and qualification of discordance among regions has become standard for understanding phylogenetic relationships. In plants, which usually have comparatively large genomes, this is feasible by the combination of reduced-representation library (RRL) methods and high-throughput sequencing enabling the cost effective acquisition of genomic data for thousands of loci from hundreds of samples. One popular RRL method is RADseq. A major disadvantage of established RADseq approaches is the rather short fragment and sequencing range, leading to loci of little individual phylogenetic information. This issue hampers the application of coa…

0106 biological sciences570clustering threshold selectionInferenceLocus (genetics)Computational biologyBiologyCrassulaceaedata bias010603 evolutionary biology01 natural sciencesGenomeCoalescent theoryspecies tree inference03 medical and health scienceslocus filteringGeneticscoalescent-based summary methodCluster analysisMolecular BiologyEcology Evolution Behavior and SystematicsSelection (genetic algorithm)Phylogeny030304 developmental biology0303 health sciencesGenomePhylogenetic treeHigh-Throughput Nucleotide SequencingGenomicsRADseq500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; BiologieTree (data structure)
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Effects of predation pressure and resource use on morphological divergence in omnivorous prey fish

2013

Background. Body shape is one of the most variable traits of organisms and responds to a broad array of local selective forces. In freshwater fish, divergent body shapes within single species have been repeatedly observed along the littoral-pelagic axes of lakes, where the structural complexity of near shore habitats provides a more diverse set of resources compared to the open-water zones. It remains poorly understood whether similar resource-driven polymorphism occurs among lakes that vary in structural complexity and predation pressure, and whether this variation is heritable. Here, we analyzed body shape in four populations of omnivorous roach (Rutilus rutilus) inhabiting shallow lakes.…

0106 biological sciencesAFLPStable isotope analysisGenotypeOutlier lociCyprinidaePredationZoology010603 evolutionary biology01 natural sciencesPredation03 medical and health sciencesAdaptive divergencemorfologiaGenetic driftvakaat isotoopitparasitic diseasesAnimals14. Life underwatersärkiAmplified Fragment Length Polymorphism AnalysisEcosystemEcology Evolution Behavior and Systematics030304 developmental biologyIsolation by distance0303 health sciencesGeometric morphometricsbiologyEcologyGenetic DriftShallow lakesbiology.organism_classificationBiological EvolutionGut content analysis6. Clean watersaalistusLakesPhenotypematalat järvetHabitatPredatory BehaviorPredator induced morphological defenseForage fishFreshwater fishpredaatioRutilus rutilusOmnivoreRutilusResearch ArticleBMC Evolutionary Biology
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Communication versus waterproofing: the physics of insect cuticular hydrocarbons

2019

Understanding the evolution of complex traits is among the major challenges in biology. One such trait is the cuticular hydrocarbon (CHC) layer in insects. It protects against desiccation and provides communication signals, especially in social insects. CHC composition is highly diverse within and across species. To understand the adaptive value of this chemical diversity, we must understand how it affects biological functionality. So far, CHCs received ample research attention, but their physical properties were little studied. We argue that these properties determine their biological functionality, and are vital to understand how CHC composition affects their adaptive value. We investigat…

0106 biological sciencesAdaptive valuePhysiologymedia_common.quotation_subjectInsectAquatic ScienceBiology010603 evolutionary biology01 natural sciences03 medical and health sciencesSpecies SpecificityFreezingAnimalsMolecular BiologymicrorheologyEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUS030304 developmental biologymedia_commonPhysics0303 health sciencesCalorimetry Differential ScanningAntsViscosityHydrocarbonsAnimal CommunicationInsect ScienceChemical diversitycuticular hydrocarbonAnimal Science and ZoologyRheologyBiological system[PHYS.COND.CM-SCM]Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft]
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Potential use of machine learning methods in assessment of Fusarium culmorum and Fusariumproliferatum growth and mycotoxin production in treatments w…

2021

Abstract The use of Fusarium-controlling fungicides is necessary to limit crop loss. Little is known about the effect of commercial antifungal formulations at sub-lethal doses, and their interaction with abiotic factors, on Fusarium culmorum and F. proliferatum development and on zearalenone and fumonisin biosynthesis, respectively. In the present study different treatments based on sulfur, trifloxystrobin and demethylation inhibitor fungicides (cyproconazole, tebuconazole and prothioconazole) under different environmental conditions, in Maize Extract Medium (MEM), are assayed in vitro. Then, several machine learning methods (neural networks, random forest and extreme gradient boosted trees…

0106 biological sciencesAntifungal AgentsWater activityBiologyMachine learningcomputer.software_genre01 natural sciencesFumonisinsZea maysMachine Learning03 medical and health scienceschemistry.chemical_compoundFusariumFumonisinGeneticsFusarium culmorumMycotoxinZearalenoneEcology Evolution Behavior and Systematics030304 developmental biologyTebuconazoleAbiotic component0303 health sciencesbusiness.industryfood and beveragesbiology.organism_classificationFungicideInfectious DiseaseschemistryArtificial intelligencebusinesscomputer010606 plant biology & botanyFungal biology
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Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs…

2020

Abstract Image processing and artificial intelligence (AI) techniques have been applied to analyze, evaluate and classify mulberry fruit according to their ripeness (unripe, ripe, and overripe). A total of 577 mulberries were graded by an expert and the images were captured by an imaging system. Then, the geometrical properties, color, and texture characteristics of each segmented mulberry was extracted using two feature reduction methods: Correlation-based Feature Selection subset (CFS) and Consistency subset (CONS). Artificial Neural Networks (ANN) and Support Vector Machine (SVM) were applied to classify mulberry fruit. ANN classification with the CFS subset feature extraction method res…

0106 biological sciencesArtificial neural networkbusiness.industryFeature extractionPattern recognitionFeature selectionImage processing04 agricultural and veterinary sciencesHorticulturecomputer.software_genreRipeness01 natural sciencesExpert system040501 horticultureMachine vision systemSupport vector machineArtificial intelligence0405 other agricultural sciencesbusinessAgronomy and Crop Sciencecomputer010606 plant biology & botanyFood ScienceMathematicsPostharvest Biology and Technology
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Phenological sensitivity to climate change is higher in resident than in migrant bird populations among European cavity breeders

2018

Many organisms adjust their reproductive phenology in response to climate change, but phenological sensitivity to temperature may vary between species. For example, resident and migratory birds have vastly different annual cycles, which can cause differential temperature sensitivity at the breeding grounds, and may affect competitive dynamics. Currently, however, adjustment to climate change in resident and migratory birds have been studied separately or at relatively small geographical scales with varying time series durations and methodologies. Here, we studied differential effects of temperature on resident and migratory birds using the mean egg laying initiation dates from 10 European n…

0106 biological sciencesBLUE TITadaptation01 natural sciencesNesting Behavior010605 ornithologyGEOGRAPHICAL VARIATIONadaptation birds climate change competition information use laying date nest boxes timingtimingClimate changePasseriformesGeneral Environmental ScienceTrophic levelmedia_commonGlobal and Planetary ChangeEcologyEcologyPhenologyReproductionTemperatureEuropeNEST-SITE SELECTIONclimate changeMIGRATORY BIRDSinternationalTROPHIC LEVELSSeasonslaying datecompetitionnest boxesmedia_common.quotation_subjectta1172Climate changeBiologySPRING TEMPERATURE010603 evolutionary biologyCompetition (biology)BirdsLONG-DISTANCE MIGRANTmedicineAnimalsEnvironmental ChemistryTIT PARUS-MAJORAdaptationNest boxCompetitionSHIFTSInterspecific competitioninformation use15. Life on landSeasonalitymedicine.disease13. Climate actionbirdsFLYCATCHERS FICEDULA-HYPOLEUCAta1181Animal MigrationAdaptationGlobal Change Biology
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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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