Search results for "COLOR"

showing 10 items of 2721 documents

OMICfpp: a fuzzy approach for paired RNA-Seq counts

2019

© The Author(s) 2019.

0106 biological scienceslcsh:QH426-470Pipeline (computing)lcsh:BiotechnologyRNA-SeqBinomial testSample (statistics)Biologyoncología médicaMedical Oncology01 natural sciencesFuzzy logicSet (abstract data type)03 medical and health sciencesUser-Computer InterfaceSoftwarelcsh:TP248.13-248.65GeneticsHumansCàncer030304 developmental biologyOrdered weight average0303 health sciencesbusiness.industrySequence Analysis RNAMethodology ArticleHigh-Throughput Nucleotide SequencingPattern recognitionColorectal cancerlcsh:Genetics3201.01 OncologíatranscriptomaRandomization distributionRNAArtificial intelligenceDNA microarraybusinessColorectal NeoplasmsTranscriptome010606 plant biology & botanyBiotechnology
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Wine Fermentation

2019

Currently wineries are facing new challenges due to actual market demands for creation of products exhibiting more individual flavors[...]

0106 biological scienceslcsh:TP500-660oenological enzymes<i>Lachancea</i>color intensityyeast hybrids04 agricultural and veterinary sciencesPlant Scienceprocess controllcsh:Fermentation industries. Beverages. Alcohol040401 food science01 natural sciencesBiochemistry Genetics and Molecular Biology (miscellaneous)metabolomics0404 agricultural biotechnologyextraction methods010608 biotechnologyphenolic content<i>Saccharomyces</i>sulfur compoundsFood ScienceFermentation
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Honeybees prefer novel insect-pollinated flower shapes over bird-pollinated flower shapes

2019

AbstractPlant–pollinator interactions have a fundamental influence on flower evolution. Flower color signals are frequently tuned to the visual capabilities of important pollinators such as either bees or birds, but far less is known about whether flower shape influences the choices of pollinators. We tested European honeybee Apis mellifera preferences using novel achromatic (gray-scale) images of 12 insect-pollinated and 12 bird-pollinated native Australian flowers in Germany; thus, avoiding influences of color, odor, or prior experience. Independent bees were tested with a number of parameterized images specifically designed to assess preferences for size, shape, brightness, or the number…

0106 biological sciencesmedia_common.quotation_subjectInsectBiologybird-pollinated010603 evolutionary biology01 natural sciences[SCCO]Cognitive sciencepollinatorApis mellifera (European honeybee)PollinatorGuest Editor: David Baracchi Dipartimento di Biologia Università degli Studi di Firenze Italy0501 psychology and cognitive sciencesFloral symmetry050102 behavioral science & comparative psychologyinsect-pollinatedangiospermComputingMilieux_MISCELLANEOUSmedia_commonSpecial Column: Behavioural and Cognitive Plasticity in Foraging Pollinators[SCCO.NEUR]Cognitive science/Neuroscience[SDV.BA]Life Sciences [q-bio]/Animal biology05 social sciencesArticlesPreferenceflowerEvolutionary biologyColor preferences[SCCO.PSYC]Cognitive science/PsychologyAnimal Science and Zoology
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Social information use about novel aposematic prey is not influenced by a predator’s previous experience with toxins

2019

Aposematism is an effective antipredator strategy. However, the initial evolution and maintenance of aposematism are paradoxical because conspicuous prey are vulnerable to attack by naive predators. Consequently, the evolution of aposematic signal mimicry is also difficult to explain. The cost of conspicuousness can be reduced if predators learn about novel aposematic prey by observing another predator's response to that same prey. On the other hand, observing positive foraging events might also inform predators about the presence of undefended mimics, accelerating predation on both mimics and their defended models. It is currently unknown, however, how personal and social information combi…

0106 biological sciencespredator-prey interactionstoksiinitZoologyAVOIDANCEAposematismBiology41 Environmental SciencesSTRATEGIC DECISIONSALTERNATIVE PREYFREQUENCY010603 evolutionary biology01 natural sciencesBATESIAN MIMICRYBasic Behavioral and Social SciencePredation03 medical and health sciencesDEFENDED PREYpetoeläimetBehavioral and Social ScienceCOLOR BIASEStoxin loadaposematismAVERSIONSSocial informationPredatorEcology Evolution Behavior and SystematicsEDUCATED PREDATORS030304 developmental biologysuojaväri0303 health sciencessaaliseläimetmimikry3103 EcologySocial learningBLACKBIRDSBatesian mimicrysosiaalinen oppiminengreat titssocial learning3109 Zoology1181 Ecology evolutionary biologyMimicrymimicry31 Biological Sciences
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Geographic mosaic of selection by avian predators on hindwing warning colour in a polymorphic aposematic moth

2020

AbstractWarning signals are predicted to develop signal monomorphism via positive frequency-dependent selection (+FDS) albeit many aposematic systems exhibit signal polymorphism. To understand this mismatch, we conducted a large-scale predation experiment in four locations, among which the frequencies of hindwing warning coloration of aposematic Arctia plantaginis differ. Here we show that selection by avian predators on warning colour is predicted by local morph frequency and predator community composition. We found +FDS to be strongest in monomorphic Scotland, and in contrast, lowest in polymorphic Finland, where different predators favour different male morphs. +FDS was also found in Geo…

0106 biological sciencespredatorspredator-prey interactionsFrequency-dependent selectionFREQUENCY-DEPENDENT SELECTIONDIVERSITYMoths01 natural sciencesMüllerian mimicrytäpläsiilikäsPredationmuuntelu (biologia)Arctia plantaginisPredatorFinland0303 health sciencesMonomorphismsaaliseläimetluonnonvalintaEcologywood tiger mothVARIABLE SELECTIONDIFFERENTIATIONPOISON FROG1181 Ecology evolutionary biologyMULLERIAN MIMICRYvaroitusväriColorZoologyAposematismBiology010603 evolutionary biologyBirds03 medical and health sciencesArctia plantaginisAposematismPARASEMIAcolour polymorphismpetoeläimetAnimalsaposematismfrequency‐dependent selectionEcology Evolution Behavior and SystematicsSelection (genetic algorithm)030304 developmental biologysignal variationsignal convergence010604 marine biology & hydrobiologypredator–prey interactionsEVOLUTIONSIGNALScotlandCommunity compositionPredatory Behavior
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Antipredator strategies of pupae: how to avoid predation in an immobile life stage?

2019

Antipredator strategies of the pupal stage in insects have received little attention in comparison to larval or adult stages. This is despite the fact that predation risk can be high during the pupal stage, making it a critical stage for subsequent fitness. The immobile pupae are not, however, defenceless; a wide range of antipredator strategies have evolved against invertebrate and vertebrate predators. The most common strategy seems to be ‘avoiding encounters with predators' by actively hiding in vegetation and soil or via cryptic coloration and masquerade. Pupae have also evolved behavioural and secondary defences such as defensive toxins, physical defences or deimatic movements and soun…

0106 biological sciencespupal defencesuojautuminenFood ChainInsectaZoologyBiologyEnvironment010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyPredation03 medical and health sciencestoukatAnimalsprotective colorationpuolustusmekanismit (biologia)Selection Genetic030304 developmental biologysuojaväri0303 health sciencesLarvasaaliseläimetchemical defencephysical defencefungiPupapredator–prey interactionsArticlesLife stagePupahyönteisetGeneral Agricultural and Biological SciencesPhilosophical transactions of the Royal Society of London. Series B, Biological sciences
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Large differences in catch per unit of effort between two minnow trap models

2013

Background: Little is known about variation in catch per unit of effort (CPUE) in stickleback fisheries, or the factors explaining this variation. We investigated how nine-spined stickleback (Pungitius pungitius) CPUE was influenced by trap model by comparing the CPUEs of two very similar minnow trap models fished side-by-side in a paired experimental design. Results: The galvanized trap type (mean CPUE = 1.31 fish h–1) out-fished the black trap type (mean CPUE = 0.20 fish h–1) consistently, and yielded on average 81% more fish. Conclusions: The results demonstrate that small differences in trap appearance can have large impacts on CPUE. This has implications for studies designed to investi…

0106 biological sciencesputkimertaPungitius pungitiusDecision MakingcpueFisheriesfunnel trapColor010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologycatchabilityPungitiusAbundance (ecology)biology.animalpyydystettävyysyksikkösaalisAnimalspiikkikalaCatchability14. Life underwaterFunnel trapEcosystemMedicine(all)pyydysBehavior AnimalbiologyBiochemistry Genetics and Molecular Biology(all)stickleback010604 marine biology & hydrobiologySticklebackEquipment DesignGeneral MedicineSticklebackTrap (plumbing)Minnowbiology.organism_classificationSmegmamorphaTrapFisherykalastuskalatalousFishery1181 Ecology evolutionary biologyCPUEFish <Actinopterygii>trapResearch Article
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Why aren't warning signals everywhere? : On the prevalence of aposematism and mimicry in communities

2021

Warning signals are a striking example of natural selection present in almost every ecological community - from Nordic meadows to tropical rainforests, defended prey species and their mimics ward off potential predators before they attack. Yet despite the wide distribution of warning signals, they are relatively scarce as a proportion of the total prey available, and more so in some biomes than others. Classically, warning signals are thought to be governed by positive density-dependent selection, i.e. they succeed better when they are more common. Therefore, after surmounting this initial barrier to their evolution, it is puzzling that they remain uncommon on the scale of the community. He…

0106 biological sciencesvaroitusväri570predator-prey interactionsFREQUENCY-DEPENDENT SELECTIONFrequency-dependent selectionPopulationBatesian mimicryAposematismMacroevolutionModels Biological010603 evolutionary biology01 natural sciencesRISK-TAKINGGeneral Biochemistry Genetics and Molecular BiologyMüllerian mimicryPredationANTIPREDATOR DEFENSES03 medical and health sciencesPrevalenceAnimalsaposematismecological nicheeducationMullerian mimicryBODY-SIZE030304 developmental biology0303 health scienceseducation.field_of_studyMüllerian mimicryEcologyBiological Mimicrymimikrypredator–prey interactionseliöyhteisötBiological EvolutionBatesian mimicrysaalistusekologinen lokeroCORAL-SNAKE PATTERNCHEMICAL DEFENSEGeographyCOLOR PATTERNPredatory Behavior1181 Ecology evolutionary biologyMimicrySHIFTING BALANCEGeneral Agricultural and Biological Sciencescommunity ecology
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Out in the open : behavior’s effect on predation risk and thermoregulation by aposematic caterpillars

2020

Abstract Warning coloration should be under strong stabilizing selection but often displays considerable intraspecific variation. Opposing selection on color by predators and temperature is one potential explanation for this seeming paradox. Despite the importance of behavior for both predator avoidance and thermoregulation, its role in mediating selection by predators and temperature on warning coloration has received little attention. Wood tiger moth caterpillars, Arctia plantaginis, have aposematic coloration, an orange patch on the black body. The size of the orange patch varies considerably: individuals with larger patches are safer from predators, but having a small patch is beneficia…

0106 biological sciencesvaroitusväriZoologyAposematismBiology010603 evolutionary biology01 natural scienceseläinten käyttäytyminenIntraspecific competitiontäpläsiilikäsPredation03 medical and health sciencesParus majoraposematismStabilizing selectionCaterpillarArctia plantaginisPredatorEcology Evolution Behavior and Systematicslämmönsäätely030304 developmental biologyParus0303 health sciencesthermoregulationAcademicSubjects/SCI01330Original Articlestalitiainen15. Life on landThermoregulationbiology.organism_classificationmicrohabitat preferencesaalistuscolorAnimal Science and Zoology
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Colour and luminance contrasts predict the human detection of natural stimuli in complex visual environments.

2017

Much of what we know about human colour perception has come from psychophysical studies conducted in tightly-controlled laboratory settings. An enduring challenge, however, lies in extrapolating this knowledge to the noisy conditions that characterize our actual visual experience. Here we combine statistical models of visual perception with empirical data to explore how chromatic (hue/saturation) and achromatic (luminant) information underpins the detection and classification of stimuli in a complex forest environment. The data best support a simple linear model of stimulus detection as an additive function of both luminance and saturation contrast. The strength of each predictor is modest …

0106 biological sciencesvisionVisual perceptiongenetic structuresmedia_common.quotation_subjectColorBiologyperception010603 evolutionary biology01 natural sciencesLuminance050105 experimental psychologyPerceptionPsychophysicsPsychophysicsHumans0501 psychology and cognitive sciencesChromatic scalehumanSensory cueHuemedia_commonEvolutionary Biology05 social sciencesContrast (statistics)Agricultural and Biological Sciences (miscellaneous)sensory ecologyVisual Perceptionta1181CuesGeneral Agricultural and Biological SciencesCognitive psychologyBiology letters
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