Search results for "gene flow"

showing 10 items of 177 documents

Colonisation and diversification of the Zenaida dove (Zenaida aurita) in the Antilles: phylogeography, contemporary gene flow and morphological diver…

2013

12 pages; International audience; Caribbean avifaunal biogeography has been mainly studied based on mitochondrial DNA. Here, we investigated both past and recent island differentiation and micro-evolutionary changes in the Zenaida Dove (Zenaida aurita) based on combined information from one mitochondrial (Cytochrome c Oxydase subunit I, COI) and 13 microsatellite markers and four morphological characters. This Caribbean endemic and abundant species has a large distribution, and two subspecies are supposed to occur: Z. a. zenaida in the Greater Antilles (GA) and Z. a. aurita in the Lesser Antilles (LA). Doves were sampled on two GA islands (Puerto Rico and the British Virgin Islands) and six…

0106 biological sciencesZenaida auritaGene FlowBiogeographyPopulation DynamicsZoologyPopulation geneticslcsh:MedicineSubspecies[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomy010603 evolutionary biology01 natural sciencesDNA MitochondrialElectron Transport Complex IV03 medical and health sciencesAnimalsCluster Analysis14. Life underwaterlcsh:ScienceColumbidae030304 developmental biologyIsolation by distanceIslands0303 health sciencesAnalysis of Variance[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyMultidisciplinarybiologyBase SequenceEcologylcsh:RBody WeightGenetic VariationBiodiversitybiology.organism_classificationColonisationPhylogeographyPhylogeographyCaribbean RegionHaplotypeslcsh:QAnimal Migration[SDE.BE]Environmental Sciences/Biodiversity and EcologyMartinique[ SDV.BID.SPT ] Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomyResearch ArticleMicrosatellite Repeats
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New insight into the colonization processes of common voles: inferences from molecular and fossil evidence.

2008

Biologie et Gestion des Populations, Campus International de Baillarguet, Montferrier/Lez, FranceElucidating the colonization processes associated with Quaternary climatic cycles is important in order to understand the distribution of biodiversity and the evolutionary potential of temperate plant and animal species. In Europe, general evolutionary scenarios have been defined from genetic evidence. Recently, these scenarios have been challenged with genetic as well as fossil data. The origins of the modern distributions of most temperate plant and animal species could predate the Last Glacial Maximum. The glacial survival of such populations may have occurred in either southern (Mediterranea…

0106 biological sciences[ SDE.BE.BIOD ] Environmental Sciences/Biodiversity and Ecology/domain_sde.be.biodBiodiversitylcsh:Medicine[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomy01 natural sciencesbiodiversitéEvolutionary Biology/Animal GeneticsMaximum-LikelihoodControl RegionGlacial periodévolutionlcsh:SciencePhylogenyévolution biologiqueMismatch Distributionchangement climatique0303 health sciencesMultidisciplinarybiologyArvicolinaeFossilsEcology[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]mammifèreFossil RecordCytochromes bEuropePhylogeographyHabitatResearch ArticleEvolutionary Biology/PaleontologyGene FlowClimatic ChangesGenetic SpeciationcolonisationMolecular DatingCytochrome b010603 evolutionary biologyQuaternary03 medical and health sciencesAnimalsMicrotusDemography030304 developmental biologyBayesian ApproachEvolutionary Biology/Evolutionary and Comparative GeneticsrongeurHuman evolutionary geneticslcsh:RGenetic Variation[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologySequence Analysis DNAmicrotus arvalis15. Life on landbiology.organism_classificationBiogeographic TraitsPhylogeographyGenetic SpeciationBiological dispersalAnimal Migrationlcsh:QCommon Vole
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GenExP, un logiciel simulateur de paysages agricoles pour l'étude de la diffusion de transgènes

2007

 ; The software GENEXP allows to simulate 2-dimensional agricultural landscapes by using a traditional algorithmic geometry. Based on real or realistic field-patterns, GENEXP provides multiannual maps of agricultural landscapes, which are used by softwares simulating the dispersal of GM pollen grains and seeds at various scales.; GENEXP est un simulateur de paysages agricoles qui engendre des découpages parcellaires en utilisant une géométrie algorithmique classique. GENEXP fournit, sur la base de parcellaires réels ou réalistes, des cartes pluriannuelles de paysages agricoles utilisables par des logiciels qui simulent la dispersion des pollens et des graines d'OGM à différentes échelles.

0106 biological sciences[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]010603 evolutionary biology01 natural sciencesVORONOÏ TESSELATION[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentAGRICULTURAL LANDSCAPE[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]diagrammes de Voronoi[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]DIAGRAMMES DE VORONOÏpaysage agricole[SDV.EE]Life Sciences [q-bio]/Ecology environmentFIELD PATTERN[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]voronoi tesselationPROCESSUS PONCTUEL MARKOVIEN04 agricultural and veterinary sciencesGeneral Medicineflux de genes15. Life on landsimulationPARCELLAIRE[SDV.EE] Life Sciences [q-bio]/Ecology environmentagricultural landscape field-pattern germs distribution markov point process gene flowpaysage agricole parcellaire simulation diagrammes de Voronoi distribution de germes processus ponctuel markovien flux de genes voronoi tesselation INFORMATIQUEGERMS DISTRIBUTIONINFORMATIQUE040103 agronomy & agricultureMARKOV POINT PROCESS0401 agriculture forestry and fisheriesfield-patterngene flowDISTRIBUTION DE GERMES
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Comparative host–parasite population structures: disentangling prospecting and dispersal in the black-legged kittiwake Rissa tridactyla

2005

Although much insight is to be gained through the comparison of the population genetic structures of parasites and hosts, there are, at present, few studies that take advantage of the information on vertebrate life histories available through the consideration of their parasites. Here, we examined the genetic structure of a colonial seabird, the black-legged kittiwake ( Rissa tridactyla ) using seven polymorphic microsatellite markers to make inferences about population functioning and intercolony dispersal. We sampled kittiwakes from 22 colonies across the species’ range and, at the same time, collected individuals of one of its common ectoparasites, the tick Ixodes uriae . Parasites were …

0106 biological sciences[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT]Rissa tridactyla[colonial seabirds]Population DynamicsPopulationZoology[microsatellites] Ixodes uriae microsatellites010603 evolutionary biology01 natural sciencesHost-Parasite InteractionsGene flowCharadriiformes03 medical and health sciencesGeneticsAnimals[Ixodes uriae][ SDV.OT ] Life Sciences [q-bio]/Other [q-bio.OT]education[host–parasite interactions]Ecology Evolution Behavior and SystematicsDemography030304 developmental biologyIsolation by distancePrincipal Component Analysis0303 health scienceseducation.field_of_studyGeographyIxodesbiology[SDV.OT] Life Sciences [q-bio]/Other [q-bio.OT]Arctic Regions[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]biology.organism_classificationIxodes uriae[ectoparasite]Genetics PopulationGenetic structureKittiwakeBiological dispersalSeasons[dispersal]Microsatellite Repeats
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Comparative study of the efficiency of buffer zones and harvest discarding on gene flow containment in oilseed rape. A modelling approach

2009

International audience; Oilseed rape (OSR) genes can escape fields in space via pollen and seeds and in time via volunteers resulting from seeds lost before or during oilseed rape harvests. Previous simulation studies and field observations showed that co-existence at the landscape level of contrasting OSR varieties such as genetically modified (GM) and non-GM varieties require costly measures that are difficult to implement, such as isolation distances between OSR fields and stringent volunteer control in all fields and road margins. In the present study, two local strategies, non-GM buffer zones aroundGMfields and discarding the harvest of boundary plants of non-GM fields, were tested in …

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesBuffer zoneSoil ScienceHARVEST DISCARDINGPlant Sciencemedicine.disease_cause01 natural sciencesGene flowLandscape levelPollenmedicineGENE FLOWCropping systemBUFFER ZONECOLZAMathematics2. Zero hungerGMOCO-EXISTENCESimulation modeling04 agricultural and veterinary sciences15. Life on landPollen dispersalMODELAgronomy040103 agronomy & agriculture0401 agriculture forestry and fisheriesAgronomy and Crop ScienceCropping010606 plant biology & botany
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Genetic roadmap of the Arctic: plant dispersal highways, traffic barriers and capitals of diversity.

2013

This is the peer reviewed version of the following article: Eidesen, P.B., Ehrich, D., Bakkestuen, V., Alsos, I.G., Gilg, O., Taberlet, P. & Brochmann, C. (2013). Genetic roadmap of the Arctic: plant dispersal highways, traffic barriers and capitals of diversity. New Phytologist, 200(3), 898-910. https://doi.org/10.1111/nph.12412, which has been published in final form at https://doi.org/10.1111/nph.12412. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. We provide the first comparative multispecies analysis of spatial genetic structure and diversity in the circumpolar Arctic using a common strategy for sam…

0106 biological sciencescomparative phylogeographyPhysiologyGreenlandPlant Science01 natural sciencesGene flowrefugiaArcticRefugium (population biology)genetic structureVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Plantegeografi: 496Ice CoverAmplified Fragment Length Polymorphism AnalysisAtlantic OceanPhylogeny0303 health sciencesplant dispersalArctic RegionsEcologyDNA Chloroplastgenetic diversityPlantsPhylogeography[ SDV.GEN.GPO ] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]GeographyInterglacialGenetic structuregeographic locationsGene Flowgeographical information system (GIS)Pleistocenemplified fragment length polymorphisms (AFLP)[SDV.BID]Life Sciences [q-bio]/Biodiversity010603 evolutionary biologyBeringia03 medical and health sciencesEcosystem030304 developmental biology[ SDV.BID ] Life Sciences [q-bio]/BiodiversityGenetic diversity[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyPolymorphism Genetic[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]VDP::Mathematics and natural science: 400::Zoology and botany: 480::Plant geography: 49615. Life on landSiberiaHaplotypesArcticamplified fragment length polymorphisms (AFLP)[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Assessing the indirect and long-term ecological impacts of innovation in agriculture is a real challenge: the GM example

2003

All innovation in agriculture constitutes a significant and complex ecological disturbance, even if limited to a single and simple action. Indeed, whatever the nature and objective of the action, a large number of ecological processes are affected and numerous discontinuities may occur within the agro-ecosystem, in both time and space. As the GMO example illustrates, it is not sufficient to focus on direct effect of innovation, it is necessary to forecast mid- and long-term impacts of innovation with respect to the environment. Modelling phenomena appear then to be a key element to achieve this goal.

0106 biological sciencescost benefits balanceecological impactco-existencelcsh:TP670-699010603 evolutionary biology01 natural sciencesBiochemistrygene flow models[SDV.IDA]Life Sciences [q-bio]/Food engineeringGM plantsEconomicsAGRONOMIEInnovationComputingMilieux_MISCELLANEOUSSimple (philosophy)business.industryEcology04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineeringEnvironmental economicsTerm (time)Action (philosophy)Disturbance (ecology)13. Climate actionAgriculture040103 agronomy & agriculture0401 agriculture forestry and fisherieslcsh:Oils fats and waxesElement (criminal law)businessFood Science
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Can the problem of hybridization in threatened species be evaluated using a fieldwork research? A case study in snapdragons

2019

Abstract Hybridization, natural or artificial, is considered disadvantageous for species biodiversity when it threatens the population integrity of endangered species. Frequently, studies investigating whether hybridization poses a legitimate risk to rare species are based on genetic data obtained in molecular biology laboratories. In this study, we used field research to approach the problem that hybridization could cause for the viability of a population of a rare species and to be able to propose the most appropriate initial conservation strategy. Specifically, using the model genus Antirrhinum, the reproductive barriers between the rare A. pulverulentum and its common congener A. litigi…

0106 biological scienceseducation.field_of_studyEcology010604 marine biology & hydrobiologyPopulationRare speciesEndangered speciesBiodiversityReproductive isolationBiology010603 evolutionary biology01 natural sciencesGene flowEvolutionary biologyThreatened specieseducationNature and Landscape ConservationHybridJournal for Nature Conservation
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Effect of a gap on gene flow between otherwise adjacent transgenic Brassica napus crops.

2003

Gene flow resulting from cross pollination becomes an issue when transgenic crops are involved and the genetic modification carries a trait of ecological importance. As crop fields are often separated by a barren gap, such as an intervening roadway or unplanted area, I measured cross contamination between two herbicide-resistant transgenic fields (canola, Brassica napus) across a gap of up to 12 m. I focused on pollen exchange from the field border up to 7 m inside each field over two seasons. In the absence of a gap, I found that gene dispersal diminished rapidly with distance, with more than 40% of transgenic progeny found within the first meter from the edge of the adjacent crop. Cross c…

0106 biological sciencesfood.ingredientPollinationFLUX DE GENEBrassica[SDV.GEN] Life Sciences [q-bio]/GeneticsBiologymedicine.disease_cause01 natural sciencesGene flowCrop03 medical and health sciencesfoodPollinatorPollenGeneticsmedicineCanolaCOLZAComputingMilieux_MISCELLANEOUS030304 developmental biology2. Zero hunger0303 health sciences[SDV.GEN]Life Sciences [q-bio]/GeneticsAnalysis of VarianceBrassica napusGeneral Medicine15. Life on landbiology.organism_classificationPlants Genetically ModifiedGenetics PopulationAgronomyBiological dispersalAgronomy and Crop Science010606 plant biology & botanyBiotechnologyTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
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GeneSys-Beet: A model of the effects of cropping systems on gene flow between sugar beet and weed beet

2008

A weedy form of the genus Beta, i.e. Beta vulgaris ssp. vulgaris (hence ''weed beet'') frequently found in sugar beet is impossible to eliminate with herbicides because of its genetic proximity to the crop. It is presumed to be the progeny of accidental hybrids between sugar beet (ssp. vulgaris) and wild beet (ssp. maritima), or of sugar beet varieties sensitive to vernalization and sown early in years with late cold spells. In this context, genetically modified (GM) sugar beet varieties tolerant to non-selective herbicides would be interesting to manage weed beet. However, because of the proximity of the weed to the crop, it is highly probable that the herbicide-tolerance transgene would b…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_890PopulationSoil ScienceContext (language use)H60 - Mauvaises herbes et désherbageFlux de gènesGenetically modified01 natural sciencesF30 - Génétique et amélioration des planteshttp://aims.fao.org/aos/agrovoc/c_9000024Crophttp://aims.fao.org/aos/agrovoc/c_37331http://aims.fao.org/aos/agrovoc/c_34285[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyhttp://aims.fao.org/aos/agrovoc/c_2018Cropping systemeducation2. Zero hungereducation.field_of_studybiologyU10 - Informatique mathématiques et statistiquesModélisation des culturesfungifood and beverages04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationWeed controlGene flowTillagePratique culturalehttp://aims.fao.org/aos/agrovoc/c_8347AgronomyOrganisme génétiquement modifié040103 agronomy & agriculture0401 agriculture forestry and fisheriesSugar beetBeta vulgarisWeedAgronomy and Crop ScienceMauvaise herbeModelCropping system010606 plant biology & botanyField Crops Research
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