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Quantitative DNA Analyses for Airborne Birch Pollen.
Isabell Müller-Germann1, Bernhard Vogel2, Heike Vogel2
1Biogeochemistry and Multiphase Chemistry Departments, Max Planck Institute for Chemistry, Mainz, Germany; Geosciences, Johannes Gutenberg University, Mainz, Germany.
Plos One
|October 23, 2015
Summary
Quantitative PCR (qPCR) offers a more precise method for quantifying airborne birch pollen, improving allergy forecasts. This molecular technique accurately measures pollen DNA, aiding in understanding allergenic particle distribution and health impacts.
Area of Science:
- Environmental Science
- Molecular Biology
- Allergology
Background:
- Birch pollen is a major allergen causing respiratory issues like hay fever and asthma.
- Traditional pollen counting is time-consuming and lacks species-specific identification.
- Molecular methods, like qPCR, offer faster, more accurate species identification and quantification.
Purpose of the Study:
- To evaluate quantitative Real-Time polymerase chain reaction (qPCR) for quantifying airborne birch pollen.
- To compare qPCR performance using single-copy (BP8) and multi-copy (ITS) genes.
- To assess the distribution of birch pollen DNA in fine and coarse particulate matter.
Main Methods:
- Air filter samples collected during the 2010 birch pollination season in Mainz, Germany.
- Analysis using qPCR with two primer pairs: BP8 (single-copy gene) and ITS (multi-copy gene).
- Comparison of qPCR results with the COSMO-ART air quality model and analysis of DNA in fine (<3 μm) and coarse particulate matter.
Main Results:
- The BP8 gene provided more reliable qPCR results for birch pollen quantification.
- qPCR results for coarse particulate matter correlated well with the COSMO-ART model's birch pollen forecasts.
- Higher concentrations of birch pollen DNA were found in coarse particles compared to fine particles, with a factor of 51 for BP8 and 64 for ITS.
Conclusions:
- qPCR is a promising method for precise quantification of atmospheric birch pollen.
- The study highlights the potential of molecular methods for improved allergy forecasting.
- Further investigation into sub-pollen particles in fine particulate matter is warranted due to their high allergenicity.

