Using metabarcoding to reveal and quantify plant-pollinator interactions.
Ontology highlight
ABSTRACT: Given 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 times more plant species involved in plant-pollinator interactions. We further observed a tight positive relatio
SUBMITTER: Pornon A
PROVIDER: S-EPMC4891682 | biostudies-literature | 2016 Jun
REPOSITORIES: biostudies-literature
ACCESS DATA