0000000000346616

AUTHOR

Oliver Kaltz

showing 3 related works from this author

Evolution expérimentale

2010

National audience

[SDE] Environmental Sciences[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering[SDV]Life Sciences [q-bio][SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE][SDV.IDA] Life Sciences [q-bio]/Food engineeringbiologie evolutive[SDV] Life Sciences [q-bio][SDE]Environmental Sciences[SDV.IDA]Life Sciences [q-bio]/Food engineering[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biology[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringComputingMilieux_MISCELLANEOUSevolution experimentale
researchProduct

Quorum Sensing and Density-Dependent Dispersal in an Aquatic Model System

2012

International audience; Many organisms use cues to decide whether to disperse or not, especially those related to the composition of their environment. Dispersal hence sometimes depends on population density, which can be important for the dynamics and evolution of subdivided populations. But very little is known about the factors that organisms use to inform their dispersal decision. We investigated the cues underlying density-dependent dispersal in interconnected microcosms of the freshwater protozoan Paramecium caudatum. In two experiments, we manipulated (i) the number of cells per microcosm and (ii) the origin of their culture medium (supernatant from high-or low-density populations). …

0106 biological sciencesDYNAMICSAquatic OrganismsParameciumPopulation DynamicsEMIGRATIONlcsh:MedicineMarine and Aquatic Sciences01 natural sciencesPopulation densityBehavioral EcologySpatial and Landscape Ecologylcsh:ScienceOrganismFreshwater Ecology0303 health sciencesMultidisciplinarybiologyEcologyAnimal BehaviorEcologySwarm behaviourQuorum Sensing[SDE]Environmental SciencesMicrocosmResearch ArticleFreshwater EnvironmentsSignal TransductionMetapopulation DynamicsSTRATEGIESMovementMarine Biology010603 evolutionary biologyModels Biological03 medical and health sciencesRATESBiologySOCIAL INFORMATION;EVOLUTION;EMIGRATION;STRATEGIES;DYNAMICS;LIZARD;RATES030304 developmental biologyPopulation Biologylcsh:RSOCIAL INFORMATIONLIZARDbiology.organism_classificationEVOLUTIONQuorum sensingEarth SciencesBiological dispersallcsh:QParamecium caudatumAdaptation[SDE.BE]Environmental Sciences/Biodiversity and EcologyZoologyEcological Environments
researchProduct

Evolution expérimentale

2016

EA SPE GESTAD BIOME; L'évolution expérimentale consiste à tenter de mener en laboratoire le processus d’évolution afin d’en étudier les règles de fonctionnement sous-jacentes. Les sources de variation dans la réponse sont analysées au cours d’expériences exécutées et répliquées en conditions contrôlées. Cette approche dynamique de l’évolution complète les études habituelles analysant l’évolution a posteriori au moyen de méthodes comparatives ou en étudiant des fossiles. Elle constitue également un pont entre les études conduites dans les conditions naturelles et les simulations réalisées par modélisation mathématique.

biologie évolutive[SDV] Life Sciences [q-bio][SDE] Environmental Sciences[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.IDA]Life Sciences [q-bio]/Food engineering[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering[SDV.BV] Life Sciences [q-bio]/Vegetal Biology[SDV.IDA] Life Sciences [q-bio]/Food engineeringévolution expérimentale
researchProduct