Search results for "SD"

showing 10 items of 20459 documents

Molecular parameters involved in bee-plant relationships: a biological and chemical approach

1987

Abstract Honeybee-plant relationships are based on a conditioning process in which olfactory (plant aroma) and gustatory cues (mainly nectars) are closely linked, leading to a selective foraging behaviour. Among crops dependent upon entomophilous cross-pollination, the sunflower has recently undergone extensive expansion due to hybrid variety selection. Sunflower hybrid seed production is strictly dependent upon pollinating insects, mainly the honeybees, but foragers may have preferences among the parental lines, leading to a lack of pollen carriage and consequently to a decrease of hybrid seed yield. In order to define the role of plant chemicals (aromas, nectars) involved in the pollinati…

0106 biological sciencesChromatography GasPollinationGenotypeForagingBiologymedicine.disease_cause01 natural sciencesBiochemistryConditioning process03 medical and health sciencesRELATION PLANTE INSECTEPollenHelianthus annuusBotanymedicine[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyNectarAnimals[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyPlant Physiological PhenomenaComputingMilieux_MISCELLANEOUS030304 developmental biology0303 health sciencesBehavior AnimalBIOLOGIEGeneral MedicineCHIMIE15. Life on landBeesSunflowerHybrid seedSmell010602 entomologyTasteOdorantsPollenCues
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Cytological and molecular characterization of three gametoclones of Citrus clementina

2013

Abstract Background Three gametoclonal plants of Citrus clementina Hort. ex Tan., cv. Nules, designated ESP, FRA, and ITA (derived from three labs in Spain, France, and Italy, respectively), were selected for cytological and molecular characterization in order to elucidate genomic rearrangements provoked by haploidization. The study included comparisons of their ploidy, homozygosity, genome integrity, and gene dosage, using chromosome counting, flow cytometry, SSR marker genotyping, and array-Comparative Genomic Hybridization (array-CGH). Results Chromosome counting and flow cytometry revealed that ESP and FRA were haploid, but ITA was tri-haploid. Homozygous patterns, represented by a sing…

0106 biological sciencesCitrus[SDV]Life Sciences [q-bio]ÉvolutionPlant ScienceHaploidyHORT EX TAN01 natural sciencesGenomeF30 - Génétique et amélioration des planteshttp://aims.fao.org/aos/agrovoc/c_3185SSRSMARKERShttp://aims.fao.org/aos/agrovoc/c_2091http://aims.fao.org/aos/agrovoc/c_8837Citrus clementinaGynogénèseGenetics0303 health scienceshttp://aims.fao.org/aos/agrovoc/c_1637Homozygotehttp://aims.fao.org/aos/agrovoc/c_27583http://aims.fao.org/aos/agrovoc/c_26859Culture d'anthèreCytologieRECOVERYSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeGENOMEhttp://aims.fao.org/aos/agrovoc/c_3490[SDE]Environmental SciencesGametoclonal variationhttp://aims.fao.org/aos/agrovoc/c_6ce991ddPloidyhttp://aims.fao.org/aos/agrovoc/c_4026Genome PlantResearch ArticleLocus des caractères quantitatifsSéquence nucléotidiqueAnther cultureGamèteLocus (genetics)BiologyGenome sequencingGene dosageAnther culture Gynogenesis Gametoclonal variation Genome sequencingDNA sequencinghttp://aims.fao.org/aos/agrovoc/c_489103 medical and health sciencesGynogenesisRETICULATA BLANCOREGENERATIONHaploïdiehttp://aims.fao.org/aos/agrovoc/c_3081Anther culture;Gynogenesis;Gametoclonal variation;Genome sequencing;HORT EX TAN;ANTHER CULTURE;RETICULATA BLANCO;REGENERATION;RECOVERY;MARKERS;GENOME;SSRS[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyAllelehttp://aims.fao.org/aos/agrovoc/c_37974GeneGenotypingAlleles030304 developmental biologyhttp://aims.fao.org/aos/agrovoc/c_2745Biologie moléculairehttp://aims.fao.org/aos/agrovoc/c_7273010606 plant biology & botany
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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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Arginase induction represses gall development during clubroot infection in Arabidopsis.

2012

Arginase induction can play a defensive role through the reduction of arginine availability for phytophageous insects. Arginase activity is also induced during gall growth caused by Plasmodiophora brassicae infection in roots of Arabidopsis thaliana; however, its possible role in this context has been unclear. We report here that the mutation of the arginase-encoding gene ARGAH2 abrogates clubroot-induced arginase activity and results in enhanced gall size in infected roots, suggesting that arginase plays a defensive role. Induction of arginase activity in infected roots was impaired in the jar1 mutant, highlighting a link between the arginase response to clubroot and jasmonate signaling. C…

0106 biological sciencesClubrootArabidopsis thalianaPhysiologyPyridinesArabidopsisplantPlant SciencePlasmodiophorida01 natural sciencesPlant RootsCallogenesisPlant Epidermischemistry.chemical_compoundJasmonateArabidopsisPlant TumorsGallArabidopsis thalianaJasmonateAmino AcidsComputingMilieux_MISCELLANEOUSchemistry.chemical_classification0303 health sciencesJasmonic acidfood and beveragesGeneral MedicineCell biologyArginasePLANT SCIENCESOrgan SpecificityPlasmodiophora brassicaeEnzyme Inductionnitric-oxideCyclopentanesBiologyHydroxylationAmidohydrolasesClubroot03 medical and health sciencesAuxinBotanymedicinethalianaOxylipinsIsoleucine030304 developmental biologydiseaseArginaseArabidopsis Proteinsfungijasmonic acid[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyplasmodiophora-brassicaeCell BiologyDiazonium Compoundsbiology.organism_classificationmedicine.diseaserootarginine catabolism[SDV.BV.AP]Life Sciences [q-bio]/Vegetal Biology/Plant breedingchemistryMutationidentificationaccumulation010606 plant biology & botanyPlantcell physiology
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Permanent Genetic Resources added to Molecular Ecology Resources Database 1 October 2009–30 November 2009.

2010

5 pages; International audience; This article documents the addition of 411 microsatellite marker loci and 15 pairs of Single Nucleotide Polymorphism (SNP) sequencing primers to the Molecular Ecology Resources Database. Loci were developed for the following species: Acanthopagrus schlegeli, Anopheles lesteri, Aspergillus clavatus, Aspergillus flavus, Aspergillus fumigatus, Aspergillus oryzae, Aspergillus terreus, Branchiostoma japonicum, Branchiostoma belcheri, Colias behrii, Coryphopterus personatus, Cynogolssus semilaevis, Cynoglossus semilaevis, Dendrobium officinale, Dendrobium officinale, Dysoxylum malabaricum, Metrioptera roeselii, Myrmeciza exsul, Ochotona thibetana, Neosartorya fisc…

0106 biological sciencesColias interiorcomputer.software_genre010603 evolutionary biology01 natural sciences03 medical and health sciencesfoodBotanyGeneticsEcology Evolution Behavior and Systematics030304 developmental biology0303 health sciences[SDV.GEN]Life Sciences [q-bio]/GeneticsbiologyDatabaseSalvia officinalisbiology.organism_classificationfood.foodDendrobium devonianumDendrobium loddigesiiNothofagus obliquaSula nebouxiiColias eurytheme[ SDV.GEN ] Life Sciences [q-bio]/GeneticsAspergillus clavatuscomputerBiotechnology
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The soursop genome and comparative genomics of basal angiosperms provide new insights on evolutionary incongruence

2019

AbstractDeep relationships and the sequence of divergence among major lineages of angiosperms (magnoliids, monocots and eudicots) remain ambiguous and differ depending on analytical approaches and datasets used. Complete genomes potentially provide opportunities to resolve these uncertainties, but two recently published magnoliid genomes instead deliver further conflicting signals. To disentangle key angiosperm relationships, we report a high-quality draft genome for the soursop (Annona muricata, Annonaceae). We reconstructed phylogenomic trees and show that the soursop represents a genomic mosaic supporting different histories, with scaffolds almost exclusively supporting single topologies…

0106 biological sciencesComparative genomics0303 health sciencesbiologyfood and beveragesbiology.organism_classification010603 evolutionary biology01 natural sciencesGenomeBasal angiospermsCoalescent theory[SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants geneticsMagnoliids03 medical and health sciencesEvolutionary biologyEudicotsGeneAnnona muricata030304 developmental biology
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Fermentation at non-conventional conditions in food- and bio-sciences by the application of advanced processing technologies

2017

The interest in improving the yield and productivity values of relevant microbial fermentations is an increasingly important issue for the scientific community. Therefore, several strategies have been tested for the stimulation of microbial growth and manipulation of their metabolic behavior. One promising approach involves the performance of fermentative processes during non-conventional conditions, which includes high pressure (HP), electric fields (EF) and ultrasound (US). These advanced technologies are usually applied for microbial inactivation in the context of food processing. However, the approach described in this study focuses on the use of these technologies at sub-lethal levels,…

0106 biological sciencesComputer scienceFood HandlingContext (language use)Bacterial Physiological Phenomena01 natural sciencesApplied Microbiology and BiotechnologyFight-or-flight response0404 agricultural biotechnologyElectricity010608 biotechnologyPressure[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringMetabolic StressBacteriabusiness.industry[SDE.IE]Environmental Sciences/Environmental EngineeringTemperature04 agricultural and veterinary sciencesGeneral Medicine040401 food scienceMicrobial inactivationBiotechnologyHigh pressureFermentationFood processingFermentationStress conditionsBiochemical engineeringbusinessBiotechnology
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Accounting for preferential sampling in species distribution models

2019

D. C., A. L. Q. and F. M. would like to thank the Ministerio de Educación y Ciencia (Spain) for financial support (jointly financed by the European Regional Development Fund) via Research Grants MTM2013‐42323‐P and MTM2016‐77501‐P, and ACOMP/2015/202 from Generalitat Valenciana (Spain). Species distribution models (SDMs) are now being widely used in ecology for management and conservation purposes across terrestrial, freshwater, and marine realms. The increasing interest in SDMs has drawn the attention of ecologists to spatial models and, in particular, to geostatistical models, which are used to associate observations of species occurrence or abundance with environmental covariates in a fi…

0106 biological sciencesComputer scienceQH301 BiologySpecies distributionPoint processesStochastic partial differential equation01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_6774EspèceAbundance (ecology)StatisticsPesqueríasQAOriginal Researchhttp://aims.fao.org/aos/agrovoc/c_241990303 health sciencesEcologyU10 - Informatique mathématiques et statistiquesSampling (statistics)Integrated nested Laplace approximationstochastic partial differential equationVariable (computer science)symbolsÉchantillonnageSpecies Distribution Models (SDMs)Modèle mathématiqueBayesian probabilityNDASDistribution des populations010603 evolutionary biologyQH30103 medical and health sciencessymbols.namesakeCovariateQA MathematicsSDG 14 - Life Below WaterCentro Oceanográfico de Murciaspecies distribution modelsRelative species abundanceEcology Evolution Behavior and Systematicspoint processes030304 developmental biologyNature and Landscape Conservationhttp://aims.fao.org/aos/agrovoc/c_6113http://aims.fao.org/aos/agrovoc/c_7280Markov chain Monte Carlointegrated nested Laplace approximationU30 - Méthodes de rechercheBayesian modelling
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Taxonomy 2.0: computer-aided identification tools to assist Antarctic biologists in the field and in the laboratory

2020

Species inventories are essential to the implementation of conservation policies to mitigate biodiversity loss and maintain ecosystem services and their value to the society. This is particularly topical with respect to climate change and direct anthropogenic effects on Antarctic biodiversity, with the identification of the most at-risk taxa and geographical areas becoming a priority. Identification tools are often neglected and considered helpful only for taxonomists. However, the development of new online information technologies and computer-aided identification tools provides an opportunity to promote them to a wider audience, especially considering the emerging generation of scientists…

0106 biological sciencesComputer science[SDV]Life Sciences [q-bio]BiodiversityEvolution des espècesOceanography010603 evolutionary biology01 natural sciencesEcosystem servicesDatabaseKnowledge baseBiodiversity conservationOcéanographie physique et chimique14. Life underwaterGéologieComputingMilieux_MISCELLANEOUSEcology Evolution Behavior and SystematicsXper3Taxonomic keyEcologiebiologybusiness.industry010604 marine biology & hydrobiologyOdontasteridaeInformation technologyGeologyField guides15. Life on landbiology.organism_classificationData scienceKnowledge base13. Climate action[SDE]Environmental SciencesManagement systemComputer-aidedbusinessSoftwareAntarctic Science
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Does recognized genetic management in supportive breeding prevent genetic changes in life-history traits?

2014

International audience; Supportive breeding is one of the last resort conservation strategies to avoid species extinction. Management of captive populations is challenging because several harmful genetic processes need to be avoided. Several recommendations have been proposed to limit these deleterious effects, but empirical assessments of these strategies remain scarce. We investigated the outcome of a genetic management in a supportive breeding for the Houbara Bustard. At the phenotypic level, we found an increase over generations in the mean values of gamete production, body mass and courtship display rate. Using an animal model, we found that phenotypic changes reflected genetic changes…

0106 biological sciencesConservation geneticsquantitative genetics010603 evolutionary biology01 natural sciencesLife history theoryCaptive breedingGeneticsmedicineBustardEcology Evolution Behavior and SystematicsSelection (genetic algorithm)[SDV.GEN]Life Sciences [q-bio]/GeneticsCourtship displaybiologyEcology010604 marine biology & hydrobiologyOriginal ArticlesQuantitative geneticsbiology.organism_classificationmedicine.anatomical_structureconservation geneticsGameteta1181General Agricultural and Biological Sciencescaptive populations[ SDV.GEN ] Life Sciences [q-bio]/GeneticsDemographyEvolutionary Applications
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