IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0140949.html
   My bibliography  Save this article

Quantitative DNA Analyses for Airborne Birch Pollen

Author

Listed:
  • Isabell Müller-Germann
  • Bernhard Vogel
  • Heike Vogel
  • Andreas Pauling
  • Janine Fröhlich-Nowoisky
  • Ulrich Pöschl
  • Viviane R Després

Abstract

Birch trees produce large amounts of highly allergenic pollen grains that are distributed by wind and impact human health by causing seasonal hay fever, pollen-related asthma, and other allergic diseases. Traditionally, pollen forecasts are based on conventional microscopic counting techniques that are labor-intensive and limited in the reliable identification of species. Molecular biological techniques provide an alternative approach that is less labor-intensive and enables identification of any species by its genetic fingerprint. A particularly promising method is quantitative Real-Time polymerase chain reaction (qPCR), which can be used to determine the number of DNA copies and thus pollen grains in air filter samples. During the birch pollination season in 2010 in Mainz, Germany, we collected air filter samples of fine (

Suggested Citation

  • Isabell Müller-Germann & Bernhard Vogel & Heike Vogel & Andreas Pauling & Janine Fröhlich-Nowoisky & Ulrich Pöschl & Viviane R Després, 2015. "Quantitative DNA Analyses for Airborne Birch Pollen," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-17, October.
  • Handle: RePEc:plo:pone00:0140949
    DOI: 10.1371/journal.pone.0140949
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0140949
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0140949&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0140949?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0140949. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.