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Validating a multi-locus metabarcoding approach for characterizing mixed-pollen samples
Sydney B Wizenberg1, Laura R Newburn1, Mateus Pepinelli1
1Department of Biology, York University, 4700 Keele St., Toronto, ON, M3J 1P3, Canada.
Plant Methods
|November 5, 2023
Summary
Pollen metabarcoding effectively characterizes mixed pollen samples, with a multi-locus approach improving accuracy. This advanced technique offers a powerful alternative to traditional methods for studying plant-pollinator interactions.
Area of Science:
- Ecology
- Molecular Biology
- Botany
Background:
- Pollinator-plant interactions are vital for ecosystems but threatened by human activity.
- Traditional pollen analysis is time-consuming and limited.
- Pollen metabarcoding offers rapid characterization of pollen diversity.
Purpose of the Study:
- To evaluate pollen metabarcoding using ITS2 and rbcL primers.
- To compare metabarcoding with traditional melissopalynology.
- To validate primers for characterizing mixed pollen samples.
Main Methods:
- Analysis of 27 mixed-pollen samples from Canadian agricultural sites.
- Comparison of pollen metabarcoding (ITS2, rbcL) with melissopalynology.
- Application of a multi-locus approach integrating data from both markers.
Main Results:
- Pollen metabarcoding showed good correlation with melissopalynology at the family level.
- A multi-locus approach significantly improved correlation at both genus and family levels.
- Melissopalynology provided higher species richness estimates, reflecting lower sampling effort.
Conclusions:
- Pollen metabarcoding is a viable method for characterizing mixed pollen samples.
- A multi-locus approach enhances the quantitative accuracy of pollen metabarcoding.
- This technique provides a valuable tool for studying plant-pollinator relationships.
