Search results for "Steri"

showing 10 items of 2646 documents

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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Dental microwear texture gradients in guinea pigs reveal that material properties of the diet affect chewing behaviour

2021

ABSTRACT Dental microwear texture analysis (DMTA) is widely used for diet inferences in extant and extinct vertebrates. Often, a reference tooth position is analysed in extant specimens, while isolated teeth are lumped together in fossil datasets. It is therefore important to test whether dental microwear texture (DMT) is tooth position specific and, if so, what causes the differences in wear. Here, we present results from controlled feeding experiments with 72 guinea pigs, which received either fresh or dried natural plant diets of different phytolith content (lucerne, grass, bamboo) or pelleted diets with and without mineral abrasives (frequently encountered by herbivorous mammals in natu…

0106 biological sciencesAbrasion (dental)10253 Department of Small Animals1109 Insect SciencePhysiologyEvolutionGuinea PigsBiologyAquatic Science010603 evolutionary biology01 natural sciences03 medical and health sciencesPosterior ToothAnimal sciencestomatognathic systemBehavior and Systematicsmedicine1312 Molecular BiologyAnimalsMasticationMolecular BiologyEcology Evolution Behavior and SystematicsAnterior teeth030304 developmental biology0303 health sciencesHerbivore630 Agriculture1104 Aquatic ScienceEcology1314 Physiologymedicine.diseaseAnimal FeedDietBite force quotientstomatognathic diseases1105 Ecology Evolution Behavior and SystematicsPhytolithTooth wearInsect ScienceMastication570 Life sciences; biologyAnimal Science and ZoologyTooth Wear1103 Animal Science and ZoologyTooth
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Soil legacy determines arbuscular mycorrhizal spore bank and plant performance in the low Arctic

2020

AbstractHuman impact is rapidly changing vegetation globally. The effect of plant cover that no longer exists in a site may still affect the development of future vegetation. We focused on a little studied factor—arbuscular mycorrhizal (AM) fungus spore bank—and its effect on three test plant species. In a low Arctic field site, plots were maintained for 6 years, devoid of any vegetation or with a Solidago virgaurea monoculture cover. We analysed the AM fungal morphospecies composition and identified 21 morphospecies in the field plots. The AM morphospecies community was dominated by members of Acaulosporaceae. Monoculturing under low Arctic field conditions changed the soil AM spore commun…

0106 biological sciencesAnthoxanthum odoratumAcaulosporaceaePlant ScienceAM spore bankBiologyPlant Roots01 natural sciencesPotentilla crantziiSolidago virgaureaSoil03 medical and health sciencesAcaulosporaceaeMycorrhizaeBotanymykorritsasienetGeneticsHumansmykorritsaMolecular BiologySoil MicrobiologyEcology Evolution Behavior and Systematicsitiöt030304 developmental biologyarktinen aluemaaperä0303 health sciencesArctic RegionsfungiGeneral MedicineVegetationbiology.organism_classificationSolidagoSporeSolidago virgaureaPlant coverOriginal ArticlemonoculturingasterikasvitMonoculturingMonoculture010606 plant biology & botanyMycorrhiza
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Fuzzy quantification of common and rare species in ecological communities (FuzzyQ)

2021

International audience; Most species in ecological communities are rare, whereas only a few are common. This distributional paradox has intrigued ecologists for decades but the interpretation of species abundance distributions remains elusive.We present Fuzzy Quantification of Common and Rare Species in Ecological Communities (FuzzyQ) as an R package. FuzzyQ shifts the focus from the prevailing species-categorization approach to develop a quantitative framework that seeks to place each species along a rarity-commonness gradient. Given a community surveyed over a number of sites, quadrats, or any other convenient sampling unit, FuzzyQ uses a fuzzy clustering algorithm that estimates a probab…

0106 biological sciencesAssembly rulesFuzzy clustering[SDV]Life Sciences [q-bio]Rare species010603 evolutionary biology01 natural sciencesFuzzy logic03 medical and health sciencesEnvironmental monitoringrarityEcology Evolution Behavior and Systematics030304 developmental biologyenvironmental monitoring0303 health sciencesCommunitybusiness.industryEcological ModelingEnvironmental resource managementassembly rulescommonness15. Life on landGeographyfuzzy clustering[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusinessabundance–occupancy distributionscommunity ecology
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The Bias of combining variables on fish's aggressive behavior studies.

2019

Made available in DSpace on 2019-10-06T16:27:42Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-07-01 Quantifying animal aggressive behavior by behavioral units, either displays or attacks, is a common practice in animal behavior studies. However, this practice can generate a bias in data analysis, especially when the variables have different temporal patterns. This study aims to use Bayesian Hierarchical Linear Models (B-HLMs) to analyze the feasibility of pooling the aggressive behavior variables of four cichlids species. Additionally, this paper discusses the feasibility of combining variables by examining the usage of different sample sizes and family distributions to aggressive …

0106 biological sciencesBayesian probabilityPosterior probabilityBayesian analysisPoisson distribution010603 evolutionary biology01 natural sciencesBehavioral Neurosciencesymbols.namesakeBiasPrior probabilityStatisticsAnimals0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyPterophyllum scalareMathematicsProbabilitybiologyBehavior Animal05 social sciencesMultilevel modelBayes TheoremGeneral MedicineCichlidsbiology.organism_classificationAggressive behaviourMarkov ChainsAggressionVariable (computer science)Sample size determinationData Interpretation StatisticalsymbolsAnimal Science and ZoologyPooled dataMonte Carlo MethodBehavioural processes
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East Weddell Sea echinoids from the JR275 expedition

2015

1 pages; International audience; Information regarding the echinoids in this dataset is based on the Agassiz Trawl (AGT) and epibenthic sledge (EBS) samples collected during the British Antarctic Survey cruise JR275 on the RRS James Clark Ross in the austral summer 2012. A total of 56 (1 at the South Orkneys and 55 in the Eastern Weddell Sea) Agassiz Trawl and 18 (2 at the South Orkneys and 16 in the Eastern Weddell Sea) epibenthic sledge deployments were performed at depths ranging from ~280 to ~2060 m. This presents a unique collection for the Antarctic benthic biodiversity assessment of an important group of benthic invertebrates. In total 487 specimens belonging to six families, 15 gene…

0106 biological sciencesBiodiversity010603 evolutionary biology01 natural scienceslcsh:ZoologySchizasteridae14. Life underwaterlcsh:QL1-991Southern OceanEcology Evolution Behavior and SystematicsInvertebrate[ SDV.BID ] Life Sciences [q-bio]/BiodiversityBiodiversity assessmentbiologyEcology010604 marine biology & hydrobiologyEchinoideaBiodiversitybiology.organism_classificationOceanographyCidaridaeBenthic zoneAnimal Science and ZoologySpecies richnessData PaperSciences exactes et naturelles
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Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation

2019

Our understanding and ability to effectively monitor and manage coastal ecosystems are severely limited by observation methods. Automatic recognition of species in natural environment is a promising tool which would revolutionize video and image analysis for a wide range of applications in marine ecology. However, classifying fish from images captured by underwater cameras is in general very challenging due to noise and illumination variations in water. Previous classification methods in the literature relies on filtering the images to separate the fish from the background or sharpening the images by removing background noise. This pre-filtering process may negatively impact the classificat…

0106 biological sciencesBiometricsComputer sciencebusiness.industry010604 marine biology & hydrobiologyPattern recognitionSharpening010603 evolutionary biology01 natural sciencesConvolutional neural networkBackground noiseA priori and a posterioriArtificial intelligenceUnderwaterbusinessTransfer of learningClassifier (UML)
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gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models inr

2019

The work of J.N. was supported by the Wihuri Foundation. The work of S.T. was supported by the CRoNoS COST Action IC1408.F.K.C.H. was also supported by an ANU cross disciplinary grant.

0106 biological sciencesClustering high-dimensional dataMultivariate statisticsMultivariate analysisCross disciplinary010604 marine biology & hydrobiologyEcological ModelingMaximum likelihoodLatent variable010603 evolutionary biology01 natural sciencesAbundance (ecology)StatisticsCost actionEcology Evolution Behavior and SystematicsMathematicsMethods in Ecology and Evolution
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Taxonomy 2.0: computer-aided identification tools to assist Antarctic biologists in the field and in the laboratory

2020

Species inventories are essential to the implementation of conservation policies to mitigate biodiversity loss and maintain ecosystem services and their value to the society. This is particularly topical with respect to climate change and direct anthropogenic effects on Antarctic biodiversity, with the identification of the most at-risk taxa and geographical areas becoming a priority. Identification tools are often neglected and considered helpful only for taxonomists. However, the development of new online information technologies and computer-aided identification tools provides an opportunity to promote them to a wider audience, especially considering the emerging generation of scientists…

0106 biological sciencesComputer science[SDV]Life Sciences [q-bio]BiodiversityEvolution des espècesOceanography010603 evolutionary biology01 natural sciencesEcosystem servicesDatabaseKnowledge baseBiodiversity conservationOcéanographie physique et chimique14. Life underwaterGéologieComputingMilieux_MISCELLANEOUSEcology Evolution Behavior and SystematicsXper3Taxonomic keyEcologiebiologybusiness.industry010604 marine biology & hydrobiologyOdontasteridaeInformation technologyGeologyField guides15. Life on landbiology.organism_classificationData scienceKnowledge base13. Climate action[SDE]Environmental SciencesManagement systemComputer-aidedbusinessSoftwareAntarctic Science
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Metabolism of chlortoluron in tolerant species: possible role of cytochrome p-450 mono-oxygenases

1988

Summary Pathways of chlortoluron metabolism were compared in excised leaves of four tolerant species, namely wheat (Triticum aestivum var Clement), Bromus sterilis, Galium aparine and Veronica persica. The herbicide was principally detoxified by hydroxylation of the ring methyl in wheat and by N-dealkylation in Veronica persica. Both pathways were involved in Bromus sterilis and Galium aparine. Kinetic study of the degradation showed that capacity to form non-toxic conjugates could, at least partially, explain the tolerance of these species to chlortoluron. In plants treated with 1-aminobenzotriazole, a cytochrome P-450 enzyme inactivator, N-dealkylation of chlortoluron was little or not af…

0106 biological sciencesCytochrome[SDV]Life Sciences [q-bio]Plant Science01 natural sciencesGaliumHydroxylation03 medical and health scienceschemistry.chemical_compoundBotanyMono oxygenaseComputingMilieux_MISCELLANEOUSEcology Evolution Behavior and Systematics030304 developmental biologyBromus sterilis0303 health sciencesbiologyMetabolismbiology.organism_classification[SDV] Life Sciences [q-bio]chemistryChlortoluronbiology.proteinAgronomy and Crop ScienceVeronica persica010606 plant biology & botany
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