Search results for "Computer and Information Science"

showing 10 items of 1335 documents

Comparative Mitogenomics of Leeches (Annelida: Clitellata): Genome Conservation and Placobdella-Specific trnD Gene Duplication.

2015

Mitochondrial DNA sequences, often in combination with nuclear markers and morphological data, are frequently used to unravel the phylogenetic relationships, population dynamics and biogeographic histories of a plethora of organisms. The information provided by examining complete mitochondrial genomes also enables investigation of other evolutionary events such as gene rearrangements, gene duplication and gene loss. Despite efforts to generate information to represent most of the currently recognized groups, some taxa are underrepresented in mitochondrial genomic databases. One such group is leeches (Annelida: Hirudinea: Clitellata). Herein, we expand our knowledge concerning leech mitochon…

0106 biological sciences0301 basic medicineClitellatalcsh:MedicineBiochemistry01 natural sciencesGenomeDatabase and Informatics MethodsRNA TransferGene DuplicationGene OrderInvertebrate GenomicsGene duplicationAnnelidslcsh:SciencePhylogenyEnergy-Producing OrganellesData ManagementGeneticseducation.field_of_studyMultidisciplinaryPhylogenetic treePhylogenetic AnalysisGenomicsGenomic DatabasesMitochondriaNucleic acidsPhylogeneticsGenes MitochondrialPlacobdella parasiticaCellular Structures and OrganellesTransfer RNAResearch ArticleComputer and Information SciencesMitochondrial DNAPopulationBioenergeticsBiologyResearch and Analysis Methods010603 evolutionary biologyEvolution MolecularOpen Reading Frames03 medical and health sciencesPhylogeneticsLeechesGeneticsAnimalsEvolutionary Systematics14. Life underwaterCodonMolecular Biology TechniquesNon-coding RNAeducationMolecular BiologyTaxonomyMolecular Biology Assays and Analysis TechniquesEvolutionary Biologylcsh:ROrganismsBiology and Life SciencesComputational BiologyCell BiologyGenome Analysisbiology.organism_classificationInvertebratesBiological Databases030104 developmental biologyAnimal GenomicsGenome MitochondrialRNAlcsh:QPLoS ONE
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The long journey of Orthotrichum shevockii (Orthotrichaceae, Bryopsida): From California to Macaronesia

2019

Biogeography, systematics and taxonomy are complementary scientific disciplines. To understand a species' origin, migration routes, distribution and evolutionary history, it is first necessary to establish its taxonomic boundaries. Here, we use an integrative approach that takes advantage of complementary disciplines to resolve an intriguing scientific question. Populations of an unknown moss found in the Canary Islands (Tenerife Island) resembled two different Californian endemic species: Orthotrichum shevockii and O. kellmanii. To determine whether this moss belongs to either of these species and, if so, to explain its presence on this distant oceanic island, we combined the evaluation of…

0106 biological sciences0301 basic medicineLeavesPlant ScienceBryology01 natural sciencesGeographical locationsCaliforniaNonvascular PlantsPhylogenyData ManagementMultidisciplinaryPhylogenetic analysisbiologyPlant AnatomyQREukaryotaPhylogenetic AnalysisPlantsClassification3. Good healthPhylogeneticsPhylogeographyGeographyMedicineTaxonomy (biology)Research ArticleSystematicsComputer and Information SciencesScienceBiogeographyCanary Islands010603 evolutionary biologyEvolution Molecular03 medical and health sciencesOrthotrichumMossesEvolutionary SystematicsNonvascular plantsOrthotrichaceaeEndemismTaxonomyEvolutionary BiologyBotánicaOrganismsBiology and Life SciencesSequence Analysis DNA15. Life on landbiology.organism_classificationBryopsidaUnited States030104 developmental biologyTaxonSpainEvolutionary biologyAfricaNorth AmericaBiological dispersalPeople and places
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Response to formal comment on Myhrvold (2016) submitted by Griebeler and Werner (2017)

2018

In his 2016 paper, Myhrvold criticized ours from 2014 on maximum growth rates (Gmax, maximum gain in body mass observed within a time unit throughout an individual’s ontogeny) and thermoregulation strategies (ectothermy, endothermy) of 17 dinosaurs. In our paper, we showed that Gmax values of similar-sized extant ectothermic and endothermic vertebrates overlap. This strongly questions a correct assignment of a thermoregulation strategy to a dinosaur only based on its Gmax and (adult) body mass (M). Contrary, Gmax separated similar-sized extant reptiles and birds (Sauropsida) and Gmax values of our studied dinosaurs were similar to those seen in extant similar-sized (if necessary scaled-up) …

0106 biological sciences0301 basic medicineMetabolic AnalysisPhysiologylcsh:MedicineAnimal Phylogenetics01 natural sciencesDinosaursBody TemperatureExtant taxonOrnithologyMaximum gainMedicine and Health SciencesGrowth rateSauropsidalcsh:ScienceArchosauriaData ManagementMammalsMultidisciplinarybiologyVertebrateEukaryotaPrehistoric AnimalsThermoregulationPhylogeneticsBioassays and Physiological AnalysisPhysiological ParametersEctothermVertebratesRegression AnalysisComputer and Information SciencesVertebrate PaleontologyZoologyResearch and Analysis Methods010603 evolutionary biologyFormal CommentBirds03 medical and health sciencesbiology.animalBasal Metabolic Rate MeasurementAnimalsAnimal PhysiologyEvolutionary SystematicsPaleozoologyTaxonomyEvolutionary Biologylcsh:ROrganismsBiology and Life SciencesPaleontologyReptilesbiology.organism_classificationBird Physiology030104 developmental biologyAmniotesEarth Scienceslcsh:QAllometryPaleobiologyZoologyPLoS ONE
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Dinosaur Metabolism and the Allometry of Maximum Growth Rate

2016

In his 2016 paper, Myhrvold criticized ours from 2014 on maximum growth rates (Gmax, maximum gain in body mass observed within a time unit throughout an individual’s ontogeny) and thermoregulation strategies (ectothermy, endothermy) of 17 dinosaurs. In our paper, we showed that Gmax values of similar-sized extant ectothermic and endothermic vertebrates overlap. This strongly questions a correct assignment of a thermoregulation strategy to a dinosaur only based on its Gmax and (adult) body mass (M). Contrary, Gmax separated similar-sized extant reptiles and birds (Sauropsida) and Gmax values of our studied dinosaurs were similar to those seen in extant similar-sized (if necessary scaled-up) …

0106 biological sciences0301 basic medicineMetabolic stateMetabolic AnalysisPhysiologylcsh:MedicineAnimal Phylogenetics01 natural sciencesBody TemperatureDinosaursMathematical and Statistical TechniquesExtant taxonMedicine and Health SciencesBody SizeGrowth ratelcsh:Sciencemedia_commonArchosauriaData ManagementMammalsMultidisciplinaryEcologyFossilsEukaryotaRegression analysisPrehistoric AnimalshumanitiesCurve FittingPhylogeneticsBioassays and Physiological AnalysisPhysiological ParametersEctothermPhysical SciencesVertebratesRegression AnalysisStatistics (Mathematics)Research ArticleComputer and Information Sciencesmedia_common.quotation_subjectVertebrate PaleontologyBiologyResearch and Analysis Methods010603 evolutionary biologyMarsupialsFormal CommentBirds03 medical and health sciencesBasal Metabolic Rate MeasurementAnimalsEvolutionary SystematicsStatistical MethodsPaleozoologyTaxonomyEvolutionary BiologyVariableslcsh:ROrganismsReptilesBiology and Life SciencesPaleontology030104 developmental biologyEvolutionary biologyBasal metabolic rateAmniotesEarth Scienceslcsh:QAllometryPaleobiologyEnergy MetabolismZoologyMathematical FunctionsMathematicsPLoS ONE
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Topological congruence between phylogenies of Anacanthorus spp. (Monogenea: Dactylogyridae) and their Characiformes (Actinopterygii) hosts: A case of…

2017

Cophylogenetic studies aim at testing specific hypotheses to understand the nature of coevolving associations between sets of organisms, such as host and parasites. Monogeneans and their hosts provide and interesting platform for these studies due to their high host specificity. In this context, the objective of the present study was to establish whether the relationship between Anacanthorus spp. with their hosts from the upper Paraná River and its tributaries can be explained by means of cospeciation processes. Nine fish species and 14 monogenean species, most of them host specific, were studied. Partial DNA sequences of the genes RAG1, 16S and COI of the fish hosts and of the genes ITS2, …

0106 biological sciences0301 basic medicineSpeciationlcsh:MedicineAnimal PhylogeneticsCharaciformes01 natural sciencesDatabase and Informatics MethodsRNA Ribosomal 16Slcsh:ScienceDNA extractionPhylogenyData ManagementMultidisciplinaryGeographyPhylogenetic treebiologyEukaryotaPhylogenetic AnalysisPhylogeneticsFreshwater FishPhylogeographyBiogeographyVertebratesCharaciformesSequence AnalysisMonogeneaResearch ArticleComputer and Information SciencesEvolutionary ProcessesBioinformaticsContext (language use)Topology010603 evolutionary biologyHost-Parasite InteractionsElectron Transport Complex IV03 medical and health sciencesExtraction techniquesPhylogeneticsGeneticsAnimalsEvolutionary SystematicsParasite EvolutionTaxonomyHomeodomain ProteinsEvolutionary BiologyPopulation BiologyHost (biology)lcsh:REcology and Environmental SciencesOrganismsBiology and Life SciencesDNASequence Analysis DNAbiology.organism_classificationDactylogyridaeResearch and analysis methodsPhylogeographyFish030104 developmental biologyPlatyhelminthsEarth Scienceslcsh:QParasitologyZoologySequence AlignmentPopulation GeneticsPLOS ONE
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Survey of five major grapevine viruses infecting Blatina and Žilavka cultivars in Bosnia and Herzegovina

2021

The sanitary status of grapevines has not yet been considered sufficiently in vineyards throughout Bosnia and Herzegovina (BiH). An extensive survey of five major grapevine viruses in the country was carried out in 2019. A total of 630 samples from the two dominant autochthonous cultivars, named Žilavka and Blatina, were tested by DAS-ELISA for the presence of grapevine leafroll-associated viruses (GLRaV-1 and 3), grapevine fleck virus (GFkV), grapevine fanleaf virus (GFLV) and Arabis mosaic virus (ArMV). Eighty-eight % of the samples were positive for at least one virus, and all five viruses were detected, thought with different incidence, i.e. GLRaV-3 (84%), GFLV (43%), GLRaV-1 (14%), GFk…

0106 biological sciences0301 basic medicineVeterinary medicineArtificial Gene Amplification and ExtensionDisease VectorsPathology and Laboratory MedicinePolymerase Chain Reaction01 natural sciencesPlant VirusesMedical ConditionsXiphinemaMedicine and Health SciencesVitisCultivarNematode InfectionsFlowering PlantsPhylogenyData Managementeducation.field_of_studyMultidisciplinarybiologyPhylogenetic treeQREukaryotaPhylogenetic AnalysisGrapevine fanleaf virusPlantsPhylogeneticsInfectious DiseasesMedical MicrobiologyViral PathogensVirusesMedicineRNA ViralGrapevineViral VectorsPathogensPlant ViruseResearch ArticleComputer and Information SciencesSciencePopulationPlant DiseaseResearch and Analysis Methodsno key wordsMicrobiologyVirusArabis mosaic virus03 medical and health sciencesVirologyParasitic DiseasesEvolutionary SystematicsMolecular Biology TechniqueseducationMolecular BiologyMicrobial PathogensTaxonomyPlant DiseasesBosnia and HerzegovinaEvolutionary BiologyGenetic diversityOrganismsBiology and Life SciencesSettore AGR/12 - Patologia VegetaleReverse Transcriptase-Polymerase Chain Reactionbiology.organism_classificationVector-Borne DiseasesSpecies Interactions030104 developmental biologyViral Transmission and Infection010606 plant biology & botany
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Degradation in landscape matrix has diverse impacts on diversity in protected areas.

2017

Introduction: A main goal of protected areas is to maintain species diversity and the integrity of biological assemblages. Intensifying land use in the matrix surrounding protected areas creates a challenge for biodiversity conservation. Earlier studies have mainly focused on taxonomic diversity within protected areas. However, functional and especially phylogenetic diversities are less studied phenomena, especially with respect to the impacts of the matrix that surrounds protected areas. Phylogenetic diversity refers to the range of evolutionary lineages, the maintenance of which ensures that future evolutionary potential is safeguarded. Functional diversity refers to the range of ecologic…

0106 biological sciencesConservation geneticsConservation BiologyBiodiversitylcsh:MedicinemaankäyttöForestsAnimal Phylogenetics01 natural scienceslcsh:ScienceSpecies diversityConservation ScienceData ManagementMultidisciplinaryEcologyEcologyEukaryotaBiodiversityrespiratory systemta4112Terrestrial EnvironmentsPhylogeneticsGeographyHabitatVertebratesConservation GeneticsConservation geneticsResearch ArticleComputer and Information SciencesConservation of Natural ResourcesEcological MetricsForest managementAnimal phylogenetics010603 evolutionary biologyEcosystemsBirdssuojelualueetGeneticsAnimalsEcosystemEvolutionary SystematicsEcosystemTaxonomyEvolutionary BiologyLand use010604 marine biology & hydrobiologyEcology and Environmental Scienceslcsh:ROrganismsSpecies diversityland useBiology and Life SciencesSpecies Diversity15. Life on landbiodiversiteettiPhylogenetic diversity13. Climate actionConservation scienceAmniotesta1181lcsh:Qprotected areasZoologyhuman activitiesPLoS ONE
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A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data

2018

This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per dry mass, and leaf nitrogen/phosphorus ratio. The processing chain exploits machine learning techniques along with optical remote sensing data (MODIS/Landsat) and climate data for gap filling and up-scaling of in-situ measured leaf traits. The chain first uses random forests regression with surrogates to fill gaps in the database (> 45% of missing entries) and maximizes the global representativeness of the trait dataset. Plant species are then a…

0106 biological sciencesFOS: Computer and information sciences010504 meteorology & atmospheric sciencesSpecific leaf areaClimateBos- en LandschapsecologieSoil ScienceFOS: Physical sciencesApplied Physics (physics.app-ph)010603 evolutionary biology01 natural sciencesStatistics - ApplicationsGoodness of fitAbundance (ecology)Machine learningForest and Landscape EcologyApplications (stat.AP)Computers in Earth SciencesPlant ecologyVegetatie0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerPlant traitsVegetationData stream miningClimate; Landsat; Machine learning; MODIS; Plant ecology; Plant traits; Random forests; Remote sensing; Soil Science; Geology; Computers in Earth SciencesGlobal MapRegression analysisGeologyPhysics - Applied Physics15. Life on landRandom forestsRemote sensingPE&RCRandom forestMODISTraitVegetatie Bos- en LandschapsecologieVegetation Forest and Landscape EcologyLandsat
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Temperate Fish Detection and Classification: a Deep Learning based Approach

2021

A wide range of applications in marine ecology extensively uses underwater cameras. Still, to efficiently process the vast amount of data generated, we need to develop tools that can automatically detect and recognize species captured on film. Classifying fish species from videos and images in natural environments can be challenging because of noise and variation in illumination and the surrounding habitat. In this paper, we propose a two-step deep learning approach for the detection and classification of temperate fishes without pre-filtering. The first step is to detect each single fish in an image, independent of species and sex. For this purpose, we employ the You Only Look Once (YOLO) …

0106 biological sciencesFOS: Computer and information sciencesComputer Science - Machine LearningComputer scienceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognition010603 evolutionary biology01 natural sciencesConvolutional neural networkVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Machine Learning (cs.LG)Artificial IntelligenceClassifier (linguistics)FOS: Electrical engineering electronic engineering information engineeringbusiness.industry010604 marine biology & hydrobiologyDeep learningImage and Video Processing (eess.IV)Process (computing)Pattern recognitionElectrical Engineering and Systems Science - Image and Video ProcessingObject detectionA priori and a posterioriNoise (video)Artificial intelligenceTransfer of learningbusiness
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Improving the conservation of Mediterranean Chondrichthyans : the ELASMOMED DNA barcode reference library

2017

Cartilaginous fish are particularly vulnerable to anthropogenic stressors and environmental change because of their K-selected reproductive strategy. Accurate data from scientific surveys and landings are essential to assess conservation status and to develop robust protection and management plans. Currently available data are often incomplete or incorrect as a result of inaccurate species identifications, due to a high level of morphological stasis, especially among closely related taxa. Moreover, several diagnostic characters clearly visible in adult specimens are less evident in juveniles. Here we present results generated by the ELASMOMED Consortium, a regional network aiming to sample …

0106 biological sciencesHeredityMolecular biologySpeciationBiodiversitySettore BIO/05 - Zoologialcsh:MedicineJuvenileEvolutionary biologyBarcodeBiochemistry01 natural sciencesDNA barcodinglaw.inventionlawDNA librarieslcsh:ScienceChondrichthyesSpecimens IdentificationData ManagementMolecular systematicsMultidisciplinaryGeographyMediterranean RegionEcologyCryptic speciationFishesBiodiversityMorphological stasiMitochondrial DNANucleic acidsGenetic MappingPhylogeographyBiogeographyDNA Barcode Reference LibraryDNA barcoding TaxonomicVertebratesDNA data banksResearch ArticleComputer and Information SciencesConservation of Natural ResourcesEvolutionary ProcessesEvolutionary systematicsBarcoding Chondrichthyans Conservation Mediterranean Sea mtDNACartilaginous fishConservationBiologyPhylogeographic structure010603 evolutionary biologyMolecular taxonomySpecies SpecificityEndemic SpeciesGeneticsMediterranean SeaAnimalsDNA Barcoding TaxonomicDNA barcoding14. Life underwaterEndemismTaxonomyPopulation Biology010604 marine biology & hydrobiologylcsh:REcology and Environmental SciencesOrganismsBiology and Life SciencesDNAResearch and analysis methodsPhylogeographyMolecular biology techniquesTaxonHaplotypesThreatened speciesEarth SciencesSharksConservation statuslcsh:QPopulation GeneticsMarine biodiversity conservationElasmobranchii
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