IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0201711.html
   My bibliography  Save this article

Identification of three Daphne species by DNA barcoding and HPLC fingerprint analysis

Author

Listed:
  • Yanpeng Li
  • Lu Geng
  • Yuanyan Liu
  • Mingyang Chen
  • Qirui Mu
  • Xu Zhang
  • Zhongyi Zhang
  • Guangxi Ren
  • Chunsheng Liu

Abstract

In order to well identify the 93 wild Cortex Daphnes samples from different species and habitats in western China and develop a standard operating procedure (SOP) for the authentication and quality of them in the future, a comprehensive and efficient identification system based on DNA barcoding and HPLC fingerprint technologies has been developed. The result showed that only 17 samples (18%) were Daphne giraldii Nitsche (DG), which is recorded in Chinese Pharmacopeia, while the others (82%) might have safety hazards. Additionally, the result of HPLC fingerprint analysis indicated that samples in the same species origins and wild distributions could be clustered together, which was consistent with DNA barcoding analysis. The study can provide a significant system for the authentication and quality of commercial Cortex Daphnes herbs. Undoubtedly, this study undoubtedly confirmed that the chemical compositions of Cortex Daphnes herbs were affected by both species origins and ecological environments, which is required more in-depth research.

Suggested Citation

  • Yanpeng Li & Lu Geng & Yuanyan Liu & Mingyang Chen & Qirui Mu & Xu Zhang & Zhongyi Zhang & Guangxi Ren & Chunsheng Liu, 2018. "Identification of three Daphne species by DNA barcoding and HPLC fingerprint analysis," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-17, August.
    • Handle: RePEc:plo:pone00:0201711
    DOI: 10.1371/journal.pone.0201711
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0201711
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0201711&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0201711?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:pone00:0201711. 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.