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Plant-pollinator interactions are traditionally recorded through field-based observations, but new methods using DNA metabarcoding have been shown to detect more interactions than traditional methods.
Plant-pollinator interactions are traditionally recorded through field-based observations, but new methods using DNA metabarcoding have been shown to detect more interactions than traditional methods. Interaction networks reconstructed from DNA metabarcoding show that pollinator species are much more generalist than expected from field-based observations. These previously unobserved interactions may play an important role in plant reproduction, but this has not yet been validated.
Our research group is interested in realising the potential of these new methods, while ensuring that they not producing misleading results. We aim to compare plant-pollinator interaction networks derived from DNA metabarcoding with those derived from field-based observations at the same time and in the same location. We also aim to investigate whether these newly discovered interactions are important for pollination success, and whether plant-pollinator interaction networks reconstructed from pollen DNA metabarcoding represent the true pollination network.
Main project goals:
The successful applicant will conduct field-work to collect insects and their pollen loads for further analysis, as well as record observations of pollinators visiting plants. The student will analyse pollen samples in the laboratory by DNA metabarcoding to identify plant species. The student will conduct laboratory and glasshouse experiments manipulating plant-pollinator interactions to test the accuracy of pollen DNA metabarcoding.
Supervisory team:
For more information on the team, see the CSIRO Ecosystem Change Ecology website
General UWA PhD entrance requirements can be found on the Future Students website.
Requirements specific to this project include:
Once you have ensured that you meet the eligibility criteria and are ready to discuss a proposal, contact the research team leader to identify a potential supervisor.
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