Search results for "Populations"

showing 10 items of 493 documents

Impact of landscape on spatial genetic structure and diversity ofCoenagrion mercuriale(Zygoptera:Coenagrionidae) in northern France

2015

AbstractLoss and fragmentation of habitat is a current main cause of biodiversity loss in freshwater habitats. Odonates (dragonflies and damselflies) depend on these habitats to complete their development. Fragmentation may be a particular threat for odonates because it generates a network of small habitat patches within which populations could suffer from isolation and loss of genetic diversity. The southern damselfly Coenagrion mercuriale is categorized on the IUCN red list as Near Threatened, largely because of population fragmentation and demographic declines associated with changes in land use. Small populations at the margin of this species’ range are of particular concern because the…

Population fragmentation[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]Near-threatened speciesHabitat fragmentationOdonataEcologybiologyEcologydamselfliesfungisource–sink population structureBiodiversity15. Life on landAquatic Sciencebiology.organism_classificationbarriers to dispersalCoenagrionidaeDamselflyta1181Biological dispersalpopulation genetic structureCoenagrion mercurialehabitat fragmentationComputingMilieux_MISCELLANEOUSEcology Evolution Behavior and SystematicsFreshwater Science
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Empirical and theoretical study of atelostomate (Echinoidea, Echinodermata) plate architecture: using graph analysis to reveal structural constraints.

2015

AbstractDescribing patterns of connectivity among organs is essential for identifying anatomical homologies among taxa. It is also critical for revealing morphogenetic processes and the associated constraints that control the morphological diversification of clades. This is particularly relevant for studies of organisms with skeletons made of discrete elements such as arthropods, vertebrates, and echinoderms. Nonetheless, relatively few studies devoted to morphological disparity have considered connectivity patterns as a level of morphological organization or developed comparative frameworks with proper tools. Here, we analyze connectivity patterns among apical plates in Atelostomata, the m…

Power graph analysisEcology[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]AtelostomataPaleontologyContrast (statistics)Graph theoryBiologybiology.organism_classificationPaleontologyTaxon[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Evolutionary biologyGraph (abstract data type)Pairwise comparisonGeneral Agricultural and Biological SciencesClade[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/PaleontologyEcology Evolution Behavior and Systematics[ SDU.STU.PG ] Sciences of the Universe [physics]/Earth Sciences/Paleontology
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Microbiological control of soil-borne phytopathogenic fungi with special emphasis on wilt-inducing Fusarium oxysporum

2009

Contents   Summary  529 I. Biological control of plant diseases: state of the art  530 II. Main modes of action of biological control agents  530 III. The protective strains of F. oxysporum: an unexplored model  532 IV. Future directions for the study of the protective capacity of strains of F. oxysporum  539 V. How to make biological control successful in the field?  540   References  541 Summary Plant diseases induced by soil-borne plant pathogens are among the most difficult to control. In the absence of effective chemical control methods, there is renewed interest in biological control based on application of populations of antagonistic micro-organisms. In addition to Pseudomonas spp. a…

Protective capacityPhysiologymedia_common.quotation_subjectBiological pest controlCOMPETITIONPlant ScienceModels BiologicalPlant RootsCompetition (biology)MicrobiologyFusariumSpecies SpecificityECOLOGICAL FITNESSPLANT DEFENSE REACTIONSFusarium oxysporumPest Control BiologicalControl (linguistics)EcosystemSoil MicrobiologyPlant DiseasesPlant Proteinsmedia_commonBIOLOGIE DES POPULATIONSVirulencebiologybusiness.industryINDUCED RESISTANCEPseudomonasfood and beveragesPRIMINGbiology.organism_classificationBiotechnology[SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacyBIOCONTROLSoil borneTrichodermaHost-Pathogen InteractionsBIOTROPHYbusinessROOT COLONIZATIONAntimicrobial Cationic Peptides
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Statistical properties of the site-frequency spectrum associated with lambda-coalescents.

2013

Abstract Statistical properties of the site-frequency spectrum associated with Λ-coalescents are our objects of study. In particular, we derive recursions for the expected value, variance, and covariance of the spectrum, extending earlier results of Fu (1995) for the classical Kingman coalescent. Estimating coalescent parameters introduced by certain Λ-coalescents for data sets too large for full-likelihood methods is our focus. The recursions for the expected values we obtain can be used to find the parameter values that give the best fit to the observed frequency spectrum. The expected values are also used to approximate the probability a (derived) mutation arises on a branch subtending a…

PseudolikelihoodMaleAquatic OrganismsInferenceExpected valueBiologyInvestigationsLambdaDNA MitochondrialCoalescent theoryGeneticsQuantitative Biology::Populations and EvolutionAnimalsComputer SimulationGeneticsPopulation DensityLikelihood FunctionsModels StatisticalModels GeneticReproductionCovarianceFrequency spectrumFertilityGenetics PopulationGadus morhuaSample size determinationMutationFemaleGenetics
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Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018

2021

Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results …

Psychological interventionDiseasesResearch & Experimental MedicineGlobal HealthPrevalence11 Medical and Health Sciencesmedia_commonCHILD GROWTH FAILUREPublic Health Global Health Social Medicine and EpidemiologyAnemiaGeneral MedicineMiddle AgedanemiaPeer reviewIRON-DEFICIENCYNutritional StatuPREGNANCYMedicine Research & ExperimentalScale (social sciences)reproductive age/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingA990 Medicine and Dentistry not elsewhere classifiedFemalewomenLife Sciences & Biomedicinevulnerable populationsHumanAdultmedicine.medical_specialtyBiochemistry & Molecular BiologyInequalityAdolescentAnemiamedia_common.quotation_subjectMODELSImmunologyNutritional StatusReproductive ageLocal Burden of Disease Anaemia CollaboratorsGeneral Biochemistry Genetics and Molecular BiologyDeveloping CountrieYoung AdultSDG 3 - Good Health and Well-beingEnvironmental healthmedicineLife ScienceHumansDeveloping CountriesPovertyGlobal NutritionPregnancyWereldvoedingScience & Technologybusiness.industryPublic healthCell BiologyGLOBAL BURDENmedicine.diseaseFolkhälsovetenskap global hälsa socialmedicin och epidemiologiRisk factors1182 Biochemistry cell and molecular biology3111 Biomedicinebusiness
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P-spaces and the Volterra property

2012

We study the relationship between generalizations of $P$-spaces and Volterra (weakly Volterra) spaces, that is, spaces where every two dense $G_\delta$ have dense (non-empty) intersection. In particular, we prove that every dense and every open, but not every closed subspace of an almost $P$-space is Volterra and that there are Tychonoff non-weakly Volterra weak $P$-spaces. These results should be compared with the fact that every $P$-space is hereditarily Volterra. As a byproduct we obtain an example of a hereditarily Volterra space and a hereditarily Baire space whose product is not weakly Volterra. We also show an example of a Hausdorff space which contains a non-weakly Volterra subspace…

Pure mathematicsProperty (philosophy)Volterra spaceprimary 54E52 54G10 secondary 28A05General MathematicsHausdorff spaceGeneral Topology (math.GN)Mathematics::General TopologyBaire spaceBaire spacedensity topology.Volterra spaceNonlinear Sciences::Exactly Solvable and Integrable SystemsIntersectionProduct (mathematics)P-spaceFOS: MathematicsQuantitative Biology::Populations and EvolutionSubspace topologyMathematicsMathematics - General Topology
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The era of reference genomes in conservation genomics

2022

Progress in genome sequencing now enables the large-scale generation of reference genomes. Various international initiatives aim to generate reference genomes representing global biodiversity. These genomes provide unique insights into genomic diversity and architecture, thereby enabling comprehensive analyses of population and functional genomics, and are expected to revolutionize conservation genomics.

QH301 Biology580 Plants (Botany)Genetics -- ResearchEvolutionsbiologibiodiversity conservation; conservation genetics; ERGA; European Reference Genome AtlasConservation genetics; Biodiversity conservation; European Reference Genome Atlas; ERGAAnimal genome mappingudc:630*1GenomeGEERGA[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE][SDE.BE.BIOD]Environmental Sciences/Biodiversity and Ecology/domain_sde.be.biodERGA ; Biodiversity [MeSH] ; Genomics [MeSH] ; Ecology Evolution Behavior and Systematics ; conservation genetics ; Genome [MeSH] ; biodiversity conservation ; European Reference Genome Atlas3rd-DASGenomicsBiodiversityreferenčni genomi[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDE.BE.BEC]Environmental Sciences/Biodiversity and Ecology/domain_sde.be.becChemistry10121 Department of Systematic and Evolutionary BotanygenomikaGE Environmental Sciences:Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC]biodiverzitetaSettore BIO/18 - GENETICAeducationQH426 GeneticsQH301European Reference Genome AtlasVDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470[SDE.BE.EVO]Environmental Sciences/Biodiversity and Ecology/domain_sde.be.evoGeneticsconservation genetics ; biodiversity conservation ; European Reference Genome Atlas ; ERGAgenomi10211 Zurich-Basel Plant Science CenterGenomesGenetikBiologyQH426Ecology Evolution Behavior and SystematicsEvolutionary BiologyBiodiversity conservation; Conservation genetics; European Reference Genome AtlasAmbientaleEcologíaGenética1105 Ecology Evolution Behavior and Systematicsconservation geneticsWildlife conservation570 Life sciences; biologyHuman medicinebiodiversity conservationAnimal genetics[SDE.BE]Environmental Sciences/Biodiversity and EcologyGenètica
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MOESM12 of Leaps and bounds: geographical and ecological distance constrained the colonisation of the Afrotemperate by Erica

2019

Additional file 12. Results: Number of all dispersal events (mean and standard deviation of all observed anagenetic ‘a’, ‘d’ dispersals, PLUS cladogenetic founder/jump dispersal) averaged from 50 biogeographical stochastic mappings under the best inferred model using the best tree.

Quantitative Biology::Populations and Evolution
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Unique records for species distribution modelling from Parallel diversifications of Cremastosperma and Mosannona (Annonaceae), tropical rainforest tr…

2018

Numbers of unique records and area under the curve per species included in the species distribution modelling

Quantitative Biology::Populations and Evolution
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Appendix D. Pairwise Pearson correlation coefficients between the commercial and ecological traits considered in the meta-analysis.

2016

Pairwise Pearson correlation coefficients between the commercial and ecological traits considered in the meta-analysis.

Quantitative Biology::Populations and EvolutionPhysics::Data Analysis; Statistics and ProbabilityQuantitative Biology::Genomics
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