0000000000288293

AUTHOR

Charlène Pellizzari

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Using metabarcoding to reveal and quantify plant-pollinator interactions.

2016

AbstractGiven the ongoing decline of both pollinators and plants, it is crucial to implement effective methods to describe complex pollination networks across time and space in a comprehensive and high-throughput way. Here we tested if metabarcoding may circumvent the limits of conventional methodologies in detecting and quantifying plant-pollinator interactions. Metabarcoding experiments on pollen DNA mixtures described a positive relationship between the amounts of DNA from focal species and the number of trnL and ITS1 sequences yielded. The study of pollen loads of insects captured in plant communities revealed that as compared to the observation of visits, metabarcoding revealed 2.5 tim…

0106 biological sciences0301 basic medicineInsectaDNA PlantPollinationmedia_common.quotation_subjectInsectBiologymedicine.disease_cause010603 evolutionary biology01 natural sciencesArticle03 medical and health sciencesSpecies SpecificityPollinatorPollenmedicine[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsDNA Barcoding TaxonomicPollinationPlant Physiological Phenomenamedia_common[SDV.GEN]Life Sciences [q-bio]/Genetics[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyMultidisciplinaryCommunityEcologyPlant communitySequence Analysis DNAPlants15. Life on landEcological genetics030104 developmental biologyTaxonPollen[SDE.BE]Environmental Sciences/Biodiversity and Ecology[ SDV.GEN ] Life Sciences [q-bio]/Genetics[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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