Related Experiment Video
Updated: Apr 23, 2026
08:36
Empirical, Metagenomic, and Computational Techniques Illuminate the Mechanisms by which Fungicides Compromise Bee Health
Published on: October 9, 2017
9.4K
Evaluating multiplexed next-generation sequencing as a method in palynology for mixed pollen samples.
A Keller1, N Danner, G Grimmer
1Department of Animal Ecology and Tropical Biology, University of Würzburg, Biocenter, Würzburg, Germany; DNA Analytics Core Facility, University of Würzburg, Biocenter, Würzburg, Germany.
Plant Biology (Stuttgart, Germany)
|October 2, 2014
Summary
Next-generation sequencing offers an efficient method for identifying pollen origins, improving accuracy over traditional microscopy. This DNA sequencing approach enhances pollen analysis for ecological and quality control applications.
Area of Science:
- Pollen analysis
- Molecular ecology
- Bioinformatics
Background:
- Pollen identification is crucial for ecology, palaeoclimatology, and honey quality control.
- Traditional light microscopy requires expert knowledge and reference collections.
- Molecular sequencing offers an alternative but struggles with mixed pollen samples.
Purpose of the Study:
- To assess next-generation sequencing (NGS) for identifying mixed pollen samples.
- To develop a bioinformatic workflow for analyzing high-throughput sequencing data.
- To compare NGS results with traditional light microscopy identification.
Main Methods:
- NGS of the internal transcribed spacer 2 (ITS2) region of nuclear ribosomal DNA.
- Development of a bioinformatic pipeline and reference database.
- Comparison of NGS data with light microscopy counts for 16 mixed pollen samples.
Main Results:
- NGS identified greater taxon richness (more taxa and deeper assignments) than light microscopy.
- Abundance estimations from NGS correlated significantly with microscopy counts.
- Simulation analyses showed high accuracy: 96% genus-level and 70% species-level identification.
Conclusions:
- NGS provides an efficient and accurate workflow for pollen identification at genus and species levels.
- This method reduces reliance on specialized palynological expertise.
- NGS is a valuable tool for diverse applications requiring precise pollen identification.
