Search results for "Quantitative method"

showing 10 items of 170 documents

Ecological plant epigenetics: Evidence from model and non-model species, and the way forward

2017

Growing evidence shows that epigenetic mechanisms contribute to complex traits, with implications across many fields of biology. In plant ecology, recent studies have attempted to merge ecological experiments with epigenetic analyses to elucidate the contribution of epigenetics to plant phenotypes, stress responses, adaptation to habitat, and range distributions. While there has been some progress in revealing the role of epigenetics in ecological processes, studies with non-model species have so far been limited to describing broad patterns based on anonymous markers of DNA methylation. In contrast, studies with model species have benefited from powerful genomic resources, which contribute…

0106 biological sciences0301 basic medicineEPIGENOMIC DIVERSITY[SDV]Life Sciences [q-bio]Species distributionINDIVIDUAL VARIATIONPhenotypic plasticity01 natural sciencesGenomephenotypic plasticityEpigenesis GeneticDNA METHYLATION VARIATIONComputingMilieux_MISCELLANEOUS0303 health sciencesEcologyEcologybioinformatiikkagenomiikkaGenomicsPlantsBioinformatics; ecological epigenetics; genomics; phenotypic plasticity; response to environment; Ecology Evolution Behavior and Systematics[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]HabitatepigenetiikkainternationalPHYSCOMITRELLA-PATENSresponse to environmentPERENNIAL HERBkasviekologiaEcological epigeneticsSEQUENCING DATAEvolutionBioinformaticsEcology (disciplines)GenomicsBiology010603 evolutionary biology[SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics03 medical and health sciencesPolyploidBehavior and SystematicskasvitEpigeneticsEcosystemEcology Evolution Behavior and Systematics030304 developmental biologyHERB HELLEBORUS-FOETIDUSPhenotypic plasticityBioinformatics ; Ecological Epigenetics ; Genomics ; Phenotypic Plasticity ; Response To EnvironmentAmbientaleResponse to environmentDNA Methylation15. Life on landEcological realismPlant ecology030104 developmental biologyARABIDOPSIS-THALIANABioinformatics ecological epigenetics genomics phenotypic plasticity response to environmentAdaptation[SDE.BE]Environmental Sciences/Biodiversity and EcologyNATURAL-POPULATIONS
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Linking extreme seasonality and gene expression in arctic marine protists

2021

ABSTRACTAt high latitudes, strong seasonal differences in light availability affect marine organisms and restrict the timing of ecosystem processes. Marine protists are key players in Arctic aquatic ecosystems, yet little is known about their ecological roles over yearly cycles. This is especially true for the dark polar night period, which up until recently was assumed to be devoid of biological activity. A 12 million transcripts catalogue was built from 0.45-10 μm protist assemblages sampled over 13 months in a time series station in an arctic fjord in Svalbard. Community gene expression was correlated with seasonality, with light as the main driving factor. Transcript diversity and evenn…

0106 biological sciencesClimate changemicrobial eukaryotesBiologyunicellular eukaryotesmedicine.disease_cause01 natural sciences03 medical and health sciencespolar daymedicineEcosystem14. Life underwater030304 developmental biology[SDV.EE]Life Sciences [q-bio]/Ecology environment0303 health sciencesmetatranscriptomicsPolar nightpolar nightEcology010604 marine biology & hydrobiologyAquatic ecosystemProtistSeasonalitymedicine.disease[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Arctic13. Climate actionSpecies evennesstime seriesgeographic locations
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Simple learning rules to cope with changing environments

2008

10 pages; International audience; We consider an agent that must choose repeatedly among several actions. Each action has a certain probability of giving the agent an energy reward, and costs may be associated with switching between actions. The agent does not know which action has the highest reward probability, and the probabilities change randomly over time. We study two learning rules that have been widely used to model decision-making processes in animals-one deterministic and the other stochastic. In particular, we examine the influence of the rules' 'learning rate' on the agent's energy gain. We compare the performance of each rule with the best performance attainable when the agent …

0106 biological sciencesError-driven learningExploitComputer scienceEnergy (esotericism)Biomedical EngineeringBiophysicsBioengineeringanimal behavior010603 evolutionary biology01 natural sciencesBiochemistryMulti-armed banditModels Biologicaldecision makingBiomaterials03 medical and health sciences[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsLearningComputer Simulation[ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]multi-armed banditEcosystem030304 developmental biologySimple (philosophy)0303 health sciences[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologybusiness.industrydynamic environmentslearning rulesdecision-making[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Unlimited periodRange (mathematics)Action (philosophy)Artificial intelligence[SDE.BE]Environmental Sciences/Biodiversity and Ecology[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businessBiotechnologyResearch Article[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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The Eurasian Modern Pollen Database (EMPD), version 2

2020

The Eurasian (née European) Modern Pollen Database (EMPD) was established in 2013 to provide a public database of high-quality modern pollen surface samples to help support studies of past climate, land cover, and land use using fossil pollen. The EMPD is part of, and complementary to, the European Pollen Database (EPD) which contains data on fossil pollen found in Late Quaternary sedimentary archives throughout the Eurasian region. The EPD is in turn part of the rapidly growing Neotoma database, which is now the primary home for global palaeoecological data. This paper describes version 2 of the EMPD in which the number of samples held in the database has been increased by 60% from 4826 to…

0106 biological sciencesLAKE CONSTANCE REGIONPalynology Palaeoecology Palaeoclimatology010504 meteorology & atmospheric sciencesHUMAN IMPACTrecent pollen deposition580 Plants (Botany)medicine.disease_cause01 natural sciences2417.10 Paleobotánicarecent pollen deposition[SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture forestryddc:550SURFACE POLLENSOUTHERN NORWAYSDG 13 - Climate ActionComputingMilieux_MISCELLANEOUSlcsh:Environmental sciencesSDG 15 - Life on Landlcsh:GE1-3500303 health sciencesCLIMATE-CHANGEGEAPUSENI NATURAL PARKlcsh:QE1-996.5Foundation (engineering)European pollen database[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]EuropeLAST GLACIAL MAXIMUMGeographyNORTHERN IBERIAN PLATEAUpollenGE Environmental Sciences1171 Geosciences010506 paleontology[SDE.MCG]Environmental Sciences/Global ChangesEarth and Planetary Sciences(all)Library scienceClimate change[SDU.STU]Sciences of the Universe [physics]/Earth Sciences010603 evolutionary biologypollen; Europe; European pollen database; neotoma03 medical and health sciencesEurasian Modern Pollen Database2502.05 PaleoclimatologíaneotomaPollenmedicineSIERRA-NEVADA[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment0105 earth and related environmental sciences030304 developmental biologyBotánicaHOLOCENE VEGETATION HISTORYDAS15. Life on land2416.03 Palinología[SDE.ES]Environmental Sciences/Environmental and Societylcsh:Geology[SDU]Sciences of the Universe [physics]MCPGeneral Earth and Planetary Sciences[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Evolutionary Changes after Translational Challenges Imposed by Horizontal Gene Transfer

2019

International audience; Genes acquired by horizontal gene transfer (HGT) may provide the recipient organism with potentially new functions, but proper expression level and integration of the transferred genes in the novel environment are not granted. Notably, transferred genes can differ from the receiving genome in codon usage preferences, leading to impaired translation and reduced functionality. Here, we characterize the genomic and proteomic changes undergone during experimental evolution of Escherichia coli after HGT of three synonymous versions, presenting very different codon usage preference, of an antibiotic resistance gene. The experimental evolution was conducted with and without…

0106 biological sciencesantibiotic resistanceGene Transfer HorizontalProteome[SDV]Life Sciences [q-bio]Bacterial genome sizeBiology010603 evolutionary biology01 natural sciencesGenomeEvolution Molecular03 medical and health sciences[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Drug Resistance BacterialEscherichia coliGeneticsexperimental evolutionGeneEcology Evolution Behavior and Systematics030304 developmental biologyGenetics0303 health sciencesExperimental evolution[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]compensatory evolutionGenomicsPhenotype[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriologycodon usage preferencesGenòmicaGenesCodon usage biasHorizontal gene transferProteomehorizontal gene transferResearch ArticleGens
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District heating networks: enhancement of the efficiency

2019

International audience; During the decades the district heating's (DH) advantages (more cost-efficient heat generation and reduced air pollution) overcompensated the additional costs of transmission and distribution of the centrally produced thermal energy to consumers. Rapid increase in the efficiency of low-power heaters, development of separated low heat density areas in cities reduce the competitiveness of the large centralized DH systems in comparison with the distributed cluster-size networks and even local heating. Reduction of transmission costs, enhancement of the network efficiency by optimization of the design of the DH networks become a critical issue. The methodology for determ…

020209 energynetwork design02 engineering and technology7. Clean energyAutomotive engineeringReduction (complexity)JEL: C - Mathematical and Quantitative Methods/C.C4 - Econometric and Statistical Methods: Special Topics/C.C4.C45 - Neural Networks and Related Topicsbenchmarking methodologies11. Sustainability0202 electrical engineering electronic engineering information engineeringdistrict heatingbusiness.industry020208 electrical & electronic engineeringdata miningBenchmarkingJEL: O - Economic Development Innovation Technological Change and Growth/O.O1 - Economic Development/O.O1.O13 - Agriculture • Natural Resources • Energy • Environment • Other Primary Products[SHS.ECO]Humanities and Social Sciences/Economics and FinanceNetwork planning and designVariable (computer science)Transmission (telecommunications)13. Climate actionHeat generationKey (cryptography)Environmental sciencebusinessJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C24 - Truncated and Censored Models • Switching Regression Models • Threshold Regression ModelsThermal energyInsights into Regional Development
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Genomic characterization of a local epidemic Pseudomonas aeruginosa reveals specific features of the widespread clone ST395

2017

International audience; Pseudomonas aeruginosa is a ubiquitous opportunistic pathogen with several clones being frequently associated with outbreaks in hospital settings. ST395 is among these so-called 'international' clones. We aimed here to define the biological features that could have helped the implantation and spread of the clone ST395 in hospital settings. The complete genome of a multidrug resistant index isolate (DHS01) of a large hospital outbreak was analysed. We identified DHS01-specific genetic elements, among which were identified those shared with a panel of six independent ST395 isolates responsible for outbreaks in other hospitals. DHS01 has the fifth largest chromosome of …

0301 basic medicine030106 microbiologyClone (cell biology)Virulence[ SDV.MP.BAC ] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriologymedicine.disease_causeGenomeMicrobiology03 medical and health sciencesmultidrug resistancemedicine[ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]GeneGenetics[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]biologyoutbreakPseudomonas aeruginosahigh-risk clonePseudomonasOutbreakGeneral Medicinebiology.organism_classification[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/BacteriologyMultiple drug resistance[ SDV.GEN.GPO ] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]030104 developmental biologycopperPseudomonas aeruginosa
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Direct and Inverse Comorbidities Between Complex Disorders

2016

Comorbidity and multimorbidity, defined as the presence of more than one disease in individuals, have emerged as a major challenge in the last decade (Valderas et al., 2009). Indeed, researchers, health professionals, healthcare managers and policy makers, and patients and citizens are lagging behind considering the comorbidity scenario, as illustrated by the paucity of documentation concerning interventions in people with multiple conditions (Smith et al., 2012). There is a clear need to better understand disease-disease relationships, in order to better organize and provide care, but also to develop appropriate research models. We can first characterize direct multimorbidity (higher-than-…

0301 basic medicineBiopsychosocial modelNosologymedicine.medical_specialtymedicinemultimorbidityPhysiologymalaltiesContext (language use)Disease03 medical and health sciencesPhysiology (medical)MultimorbidityMedicinecomplex diseasesPsychiatryOMICS dataComputingMilieux_MISCELLANEOUSbusiness.industrymedicine.diseaseComorbidity[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]3. Good healthcomorbidityEditorial030104 developmental biologyAge of onsetbusinessNeurocognitive
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Fishing anti-inflammatories from known drugs: In silico repurposing, design, synthesis and biological evaluation of bisacodyl analogues

2017

Herein is described in silico repositioning, design, synthesis, biological evaluation and structure-activity relationship (SAR) of an original class of anti-inflammatory agents based on a polyaromatic pharmacophore structurally related to bisacodyl (BSL) drug used in therapeutic as laxative. We describe the potential of TOMOCOMD-CARDD methods to find out new anti-inflammatory drug-like agents from a diverse series of compounds using the total and local atom based bilinear indices as molecular descriptors. The models obtained were validated by biological studies, identifying BSL as the first anti-inflammatory lead-like using in silico repurposing from commercially available drugs. Several bi…

0301 basic medicineDrugBisacodylAnti-inflammatory databasemedia_common.quotation_subjectIn silico[CHIM.THER]Chemical Sciences/Medicinal Chemistry03 medical and health sciencesIn vivoMolecular descriptorDrug DiscoveryDiarylmethylpyridinesmedicine[CHIM.CRIS]Chemical Sciences/CristallographyBisacodylRepurposingComputingMilieux_MISCELLANEOUSmedia_commonAnti-inflammatory assayChemistry[CHIM.ORGA]Chemical Sciences/Organic chemistryGeneral MedicineCombinatorial chemistry[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]3. Good health030104 developmental biologyMechanism of actionAtom-based bilinear indicesmedicine.symptomPharmacophoreTOMOCOMD-CARDD SoftwareRepurposingmedicine.drug
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Conformational dynamics of a single protein monitored for 24 hours at video rate

2018

We use plasmon rulers to follow the conformational dynamics of a single protein for up to 24 h at a video rate. The plasmon ruler consists of two gold nanospheres connected by a single protein linker. In our experiment, we follow the dynamics of the molecular chaperone heat shock protein 90 (Hsp90), which is known to show “open” and “closed” conformations. Our measurements confirm the previously known conformational dynamics with transition times in the second to minute time scale and reveals new dynamics on the time scale of minutes to hours. Plasmon rulers thus extend the observation bandwidth 3–4 orders of magnitude with respect to single-molecule fluorescence resonance energy transfer a…

0301 basic medicineLetterProtein ConformationMolecular ConformationFOS: Physical sciencesHsp90Bioengineeringsingle molecule02 engineering and technology7. Clean energyQuantitative Biology - Quantitative Methods03 medical and health sciencesMolecular dynamicsFluorescence Resonance Energy TransferNanotechnologyGeneral Materials ScienceHSP90 Heat-Shock ProteinsPhysics - Biological PhysicsQuantitative Methods (q-bio.QM)PlasmonPhysicsVideo rateMechanical EngineeringProtein dynamics92Biomolecules (q-bio.BM)General ChemistrySurface Plasmon Resonance021001 nanoscience & nanotechnologyCondensed Matter PhysicsGold nanospheres030104 developmental biologyFörster resonance energy transferQuantitative Biology - BiomoleculesBiological Physics (physics.bio-ph)Chemical physicsFOS: Biological sciencesprotein dynamicsPlasmon rulernonergodicityGold0210 nano-technologyLinker
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