Search results for "Populations"

showing 10 items of 493 documents

Stochastic sampling effects favor manual over digital contact tracing.

2020

Isolation of symptomatic individuals, tracing and testing of their nonsymptomatic contacts are fundamental strategies for mitigating the current COVID-19 pandemic. The breaking of contagion chains relies on two complementary strategies: manual reconstruction of contacts based on interviews and a digital (app-based) privacy-preserving contact tracing. We compare their effectiveness using model parameters tailored to describe SARS-CoV-2 diffusion within the activity-driven model, a general empirically validated framework for network dynamics. We show that, even for equal probability of tracing a contact, manual tracing robustly performs better than the digital protocol, also taking into accou…

0301 basic medicinePhysics - Physics and SocietyComputer scienceEpidemiologyScienceComplex networksFOS: Physical sciencesGeneral Physics and AstronomyPhysics and Society (physics.soc-ph)Tracingcomputer.software_genreGeneral Biochemistry Genetics and Molecular BiologyArticleSpecimen Handling03 medical and health sciences0302 clinical medicineHumans030212 general & internal medicineQuantitative Biology - Populations and EvolutionPandemicsCondensed Matter - Statistical Mechanicsstochastic modelProtocol (science)Stochastic ProcessesMultidisciplinaryStatistical Mechanics (cond-mat.stat-mech)Stochastic processDiagnostic Tests RoutineSARS-CoV-2QPopulations and Evolution (q-bio.PE)Sampling (statistics)COVID-19General ChemistryComplex networkModels TheoreticalNetwork dynamics030104 developmental biologyFOS: Biological sciencesScalabilityQuarantineData miningContact TracingcomputerContact tracingAlgorithmsNature communications
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Cancer: a disease at the crossroads of trade-offs

2017

11 pages; International audience; Central to evolutionary theory is the idea that living organisms face phenotypic and/or genetic trade-offs when allocating resources to competing life-history demands, such as growth, survival, and reproduction. These trade-offs are increasingly considered to be crucial to further our understanding of cancer. First, evidences suggest that neoplastic cells, as any living entities subject to natural selection, are governed by trade-offs such as between survival and proliferation. Second, selection might also have shaped trade-offs at the organismal level, especially regarding protective mechanisms against cancer. Cancer can also emerge as a consequence of add…

0301 basic medicineReproduction (economics)[SDV.CAN]Life Sciences [q-bio]/CancerDiseaseBiologyTrade-offLife history theory[ SDV.CAN ] Life Sciences [q-bio]/Cancer03 medical and health sciencesGeneticsmedicinecancertrade‐offEvolutionary dynamicsEcology Evolution Behavior and SystematicsSelection (genetic algorithm)ComputingMilieux_MISCELLANEOUSlife‐history traitsNatural selection[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]Ecology[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Cancernatural selectionmedicine.disease3. Good health[ SDV.GEN.GPO ] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]030104 developmental biology[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Evolutionary biologyGeneral Agricultural and Biological SciencesReviews and Syntheses
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A generalization of Kingman's model of selection and mutation and the Lenski experiment.

2017

Kingman’s model of selection and mutation studies the limit type value distribution in an asexual population of discrete generations and infinite size undergoing selection and mutation. This paper generalizes the model to analyze the long-term evolution of Escherichia. coli in Lenski experiment. Weak assumptions for fitness functions are proposed and the mutation mechanism is the same as in Kingman’s model. General macroscopic epistasis are designable through fitness functions. Convergence to the unique limit type distribution is obtained.

0301 basic medicineStatistics and ProbabilityGeneralizationPopulationBiology01 natural sciencesModels BiologicalGeneral Biochemistry Genetics and Molecular Biology010104 statistics & probability03 medical and health sciencesStatisticsEscherichia coliApplied mathematicsQuantitative Biology::Populations and EvolutionLimit (mathematics)0101 mathematicsSelection GeneticeducationSelection (genetic algorithm)education.field_of_studyFitness functionGeneral Immunology and MicrobiologyApplied MathematicsGeneral MedicineQuantitative Biology::GenomicsBiological Evolution030104 developmental biologyDistribution (mathematics)Modeling and SimulationMutation (genetic algorithm)MutationEpistasisGeneral Agricultural and Biological SciencesMathematical biosciences
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Simulation-based estimation of branching models for LTR retrotransposons

2017

Abstract Motivation LTR retrotransposons are mobile elements that are able, like retroviruses, to copy and move inside eukaryotic genomes. In the present work, we propose a branching model for studying the propagation of LTR retrotransposons in these genomes. This model allows us to take into account both the positions and the degradation level of LTR retrotransposons copies. In our model, the duplication rate is also allowed to vary with the degradation level. Results Various functions have been implemented in order to simulate their spread and visualization tools are proposed. Based on these simulation tools, we have developed a first method to evaluate the parameters of this propagation …

0301 basic medicineStatistics and ProbabilitySource codeTheoretical computer scienceRetroelementsmedia_common.quotation_subjectRetrotransposon[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]BiologyBiochemistryGenomeChromosomesBranching (linguistics)[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]SoftwareAnimalsComputer SimulationMolecular BiologyComputingMilieux_MISCELLANEOUSmedia_commoncomputer.programming_languageGeneticsGenomeModels Geneticbusiness.industry[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Python (programming language)[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsVisualizationComputational Mathematics030104 developmental biologyDrosophila melanogasterComputational Theory and Mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Programming Languages[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Mobile genetic elements[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businesscomputerSoftware
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Evolutionary distances corrected for purifying selection and ancestral polymorphisms.

2019

Abstract Evolutionary distance formulas that take into account effects due to ancestral polymorphisms and purifying selection are obtained on the basis of the full solution of Jukes–Cantor and Kimura DNA substitution models. In the case of purifying selection two different methods are developed. It is shown that avoiding the dimensional reduction implicitly carried out in the conventional model solving is instrumental to incorporate the quoted effects into the formalism. The problem of estimating the numerical values of the model parameters, as well as those of the correction terms, is not addressed.

0301 basic medicineStatistics and ProbabilityTime FactorsADNModel parametersGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesNegative selection0302 clinical medicineQuantitative Biology::Populations and EvolutionStatistical physicsSelection GeneticMolecular clockPhylogenyMathematicsPolymorphism GeneticGeneral Immunology and MicrobiologyApplied MathematicsGeneral MedicineModels biològicsQuantitative Biology::GenomicsBiological EvolutionFormalism (philosophy of mathematics)030104 developmental biologyDimensional reductionModeling and SimulationMutationGeneral Agricultural and Biological Sciences030217 neurology & neurosurgeryEvolució (Biologia)Journal of theoretical biology
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Mitigating anticipated effects of systematic errors supports sister-group relationship between Xenacoelomorpha and Ambulacraria.

2019

International audience; Xenoturbella and the acoelomorph worms (Xenacoelomorpha) are simple marine animals with controversial affinities. They have been placed as the sister group of all other bilaterian animals (Nephrozoa hypothesis), implying their simplicity is an ancient characteristic ]; alternatively, they have been linked to the complex Ambulacraria (echinoderms and hemichordates) in a clade called the Xenambulacraria , suggesting their simplicity evolved by reduction from a complex ancestor. The difficulty resolving this problem implies the phylogenetic signal supporting the correct solution is weak and affected by inadequate modeling, creating a misleading non-phylogenetic signal. …

0301 basic medicineXenoturbellaAmbulacrariamedia_common.quotation_subjectAcoelomorpha ; Ambulacraria ; Metazoa ; Nephrozoa ; Phylogenomics ; Phylogeny ; Systematic Error ; XenoturbellaNephrozoaContext (language use)phylogeny[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomyGeneral Biochemistry Genetics and Molecular Biologysystematic error03 medical and health sciences0302 clinical medicineXenoturbellaAnimalsSimplicityAmbulacrariaChordatamedia_commonLong branch attractionbiologyMetazoa[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Acoelomorphaphylogenomicsbiology.organism_classificationBiological EvolutionInvertebratesXenacoelomorpha[SDV.BA.ZI]Life Sciences [q-bio]/Animal biology/Invertebrate Zoology030104 developmental biologySister groupEvolutionary biologyOutgroupGeneral Agricultural and Biological Sciences030217 neurology & neurosurgeryEchinodermata
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Transcriptome analysis revealed that a quorum sensing system regulates the transfer of the pAt megaplasmid in Agrobacterium tumefaciens.

2016

Background Agrobacterium tumefaciens strain P4 is atypical, as the strain is not pathogenic and produces a for this species unusual quorum sensing signal, identified as N-(3-hydroxy-octanoyl)-homoserine lactone (3OH,C8-HSL). Results By sequence analysis and cloning, a functional luxI-like gene, named cinI, has been identified on the At plasmid of A. tumefaciens strain P4. Insertion mutagenesis in the cinI gene and transcriptome analyses permitted the identification of 32 cinI-regulated genes in this strain, most of them encoding proteins responsible for the conjugative transfer of pAtP4. Among these genes were the avhB genes that encode a type 4 secretion system (T4SS) involved in the forma…

0301 basic medicineacylhomoserime lactoneIdentification[SDV]Life Sciences [q-bio]AgrobacteriumPlasmidePlant Rootsfluids and secretionsPlasmidSolanum lycopersicumhttp://aims.fao.org/aos/agrovoc/c_16014Expression des gènesDynamique des populationsCloning MolecularPhylogenyGeneticsbiology000 - Autres thèmeshttp://aims.fao.org/aos/agrovoc/c_27583food and beveragesAgrobacterium tumefaciensLactonehttp://aims.fao.org/aos/agrovoc/c_768[SDV] Life Sciences [q-bio]Quorum sensingT4SSConjugation GeneticPropriété biologiquehttp://aims.fao.org/aos/agrovoc/c_35128PlasmidsResearch Articlehttp://aims.fao.org/aos/agrovoc/c_4145BiotechnologyDtr systemSéquence nucléotidiqueAgrobacteriumSequence analysisMutagenesis (molecular biology technique)At plasmid03 medical and health scienceshttp://aims.fao.org/aos/agrovoc/c_4891Bacterial Proteinsstomatognathic systemhttp://aims.fao.org/aos/agrovoc/c_3081Geneticshttp://aims.fao.org/aos/agrovoc/c_1501Acylhomoserine lactoneTranscriptomicsGenehttp://aims.fao.org/aos/agrovoc/c_6111H20 - Maladies des plantesCloning[ SDV ] Life Sciences [q-bio]Bactériologiehttp://aims.fao.org/aos/agrovoc/c_27444Sequence Analysis RNATranscription géniqueConjugationGene Expression ProfilingBiologie moléculaireGene Expression Regulation Bacterialbiochemical phenomena metabolism and nutritionQuorum sensing;Agrobacterïum;At plasmid;transcriptomics;conjugation;T4SS;Dtr system;Acylhomoserine lactonebiology.organism_classificationhttp://aims.fao.org/aos/agrovoc/c_27527Quorum sensinghttp://aims.fao.org/aos/agrovoc/c_3791030104 developmental biologyAgrobacterium tumefaciensbacteriaGenetic Fitness
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Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches

2020

The ejaculate is heterogenous and sperm sub-populations with different kinematic patterns can be identified in various species. Nevertheless, although these sub-populations are statistically well defined, the statistical differences are not always relevant. The aim of the present study was to characterize kinematic sub-populations in sperm from two bovine species, and diluted with different commercial extenders, and to determine the statistical relevance of sub-populations through Bayesian analysis. Semen from 10 bulls was evaluated after thawing. An ISAS&reg

0301 basic medicineendocrine systemMultivariate statisticsKinematicsCASABayesian probabilitySemenKinematicsBiologyArticleGeneral Biochemistry Genetics and Molecular Biologylaw.invention03 medical and health sciences0302 clinical medicinelawStatisticsbulllcsh:QH301-705.5030219 obstetrics & reproductive medicineGeneral Immunology and MicrobiologySub populationsurogenital systemExtenderMotilitySpermSpermatozoaBulls030104 developmental biologylcsh:Biology (General)ClusterPrincipal component analysisGeneral Agricultural and Biological Sciences
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Dinosaurs, chameleons, humans, and evo-devo path: linking Étienne Geoffroy's teratology, Waddington's homeorhesis, Alberch's logic of "monsters," and…

2017

23 pages; International audience; Since the rise of evo-devo (evolutionary developmental biology) in the 1980s, few authors have attempted to combine the increasing knowledge obtained from the study of model organisms and human medicine with data from comparative anatomy and evolutionary biology in order to investigate the links between development, pathology, and macroevolution. Fortunately, this situation is slowly changing, with a renewed interest in evolutionary developmental pathology (evo-devo-path) in the past decades, as evidenced by the idea to publish this special, and very timely, issue on "Developmental Evolution in Biomedical Research." As all of us have recently been involved,…

0301 basic medicinemedia_common.quotation_subjectMacroevolutionBiologyDinosaurs03 medical and health sciencesHuman medicineGeneticsAnimalsHumansEcology Evolution Behavior and Systematicsmedia_commonTeratologyHomeorhesisLizardsBiological Evolution3. Good healthEpistemologyAnatomy Comparative030104 developmental biology[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Evolutionary biologyEvolutionary developmental biologyMolecular MedicineAnimal Science and ZoologyDevelopmental psychopathologyDevelopmental BiologyDiversity (politics)
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Addressing ecological effects of radiation on populations and ecosystems to improve protection of the environment against radiation: Agreed statement…

2016

AbstractThis paper reports the output of a consensus symposium organized by the International Union of Radioecology in November 2015. The symposium gathered an academically diverse group of 30 scientists to consider the still debated ecological impact of radiation on populations and ecosystems. Stimulated by the Chernobyl and Fukushima disasters' accidental contamination of the environment, there is increasing interest in developing environmental radiation protection frameworks. Scientific research conducted in a variety of laboratory and field settings has improved our knowledge of the effects of ionizing radiation on the environment. However, the results from such studies sometimes appear…

0301 basic medicinemedicine.medical_specialtyHealth Toxicology and Mutagenesis[SDV]Life Sciences [q-bio]PopulationRadiation effects010501 environmental sciencesEnvironmental protection01 natural sciencesConstructiveArticleEcosystems03 medical and health sciencesRadiation ProtectionRadioecologyRadiation IonizingTerminology as TopicHumansMedicineEnvironmental ChemistryEcosystemEcological risk assessmenteducationWaste Management and DisposalEcosystemOrganismComputingMilieux_MISCELLANEOUS0105 earth and related environmental scienceseducation.field_of_studybusiness.industryEcologyResearchPopulationsGeneral MedicineConsensus developmentPollutionVariety (cybernetics)030104 developmental biology13. Climate actionRadiation protectionbusinessRisk assessment
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