IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v14y2017i5p547-d99261.html
   My bibliography  Save this article

A qPCR-Based Tool to Diagnose the Presence of Harmful Cyanobacteria and Cyanotoxins in Drinking Water Sources

Author

Listed:
  • Yi-Ting Chiu

    (Department of Environmental Engineering, National Cheng Kung University, Tainan 70101, Taiwan)

  • Yi-Hsuan Chen

    (Department of Environmental Engineering, National Cheng Kung University, Tainan 70101, Taiwan)

  • Ting-Shaun Wang

    (Department of Environmental Engineering, National Cheng Kung University, Tainan 70101, Taiwan)

  • Hung-Kai Yen

    (Department of Biological Science and Technology, Meiho University, Pingtung 91202, Taiwan)

  • Tsair-Fuh Lin

    (Department of Environmental Engineering, National Cheng Kung University, Tainan 70101, Taiwan)

Abstract

Harmful cyanobacteria have been an important concern for drinking water quality for quite some time, as they may produce cyanotoxins and odorants. Microcystis and Cylindrospermopsis are two common harmful cyanobacterial genera detected in freshwater lakes and reservoirs, with microcystins (MCs) and cylindrospermopsin (CYN) as their important metabolites, respectively. In this study, two sets of duplex qPCR systems were developed, one for quantifying potentially-toxigenic Microcystis and Microcystis , and the other one for cylindrospermopsin-producing cyanobacteria and Cylindrospermopsis . The duplex qPCR systems were developed and validated in the laboratory by using 338 samples collected from 29 reservoirs in Taiwan and her offshore islands. Results show that cell numbers of Microcystis and Cylindorspermopsis enumerated with microscopy, and MCs and CYN concentrations measured with the enzyme-linked immuno-sorbent assay method, correlated well with their corresponding gene copies determined with the qPCR systems (range of coefficients of determination R 2 = 0.392−0.740). The developed qPCR approach may serve as a useful tool for the water industry to diagnose the presence of harmful cyanobacteria and the potential presence of cyanotoxins in source waters.

Suggested Citation

  • Yi-Ting Chiu & Yi-Hsuan Chen & Ting-Shaun Wang & Hung-Kai Yen & Tsair-Fuh Lin, 2017. "A qPCR-Based Tool to Diagnose the Presence of Harmful Cyanobacteria and Cyanotoxins in Drinking Water Sources," IJERPH, MDPI, vol. 14(5), pages 1-17, May.
  • Handle: RePEc:gam:jijerp:v:14:y:2017:i:5:p:547-:d:99261
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/14/5/547/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/14/5/547/
    Download Restriction: no
    ---><---

    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:gam:jijerp:v:14:y:2017:i:5:p:547-:d:99261. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.