Development and evaluation of a DNA microarray assay for the simultaneous detection of nine harmful algal species in ship ballast and seaport waters

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• 作者：Xianfeng Chen 陈先钿/a> ; Qianjin Zhou 周前轿/a>…
• 关键词：ballast waters ; DNA microarray ; harmful algae ; limit of detection ; multiplex PCR ; seaport waters
• 刊名：Chinese Journal of Oceanology and Limnology
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：34
• 期：1
• 页码：86-101
• 全文大小：1,465 KB
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• 作者单位：Xianfeng Chen 陈先锋 (1) (2) (3)
  Qianjin Zhou 周前进 (1) (2)
  Weijun Duan 段维军 (3)
  Chengxu Zhou 周成旭 (2)
  Lijun Duan 段丽君 (3)
  Huili Zhang 张慧丽 (3)
  Aili Sun 孙爱丽 (1)
  Xiaojun Yan 严小军 (2)
  Jiong Chen 陈炯 (1) (2)
  
  1. Laboratory of Biochemistry and Molecular Biology, School of Marine Sciences, Ningbo University, Ningbo, 315211, China
  2. The Donghai Sea Collaborative Innovation Center for Industrial Upgrading Mariculture, Ningbo University, Ningbo, 315211, China
  3. Ningbo Academy of Inspection and Quarantine, Ningbo, 315012, China
  
• 刊物主题：Oceanography;
• 出版者：Springer Berlin Heidelberg
• ISSN：1993-5005

文摘

Rapid, high-throughput and reliable methods are urgently required to accurately detect and monitor harmful algae, which are responsible for algal blooms, such as red and green tides. In this study, we successfully developed a multiplex PCR-based DNA microarray method capable of detecting nine harmful algal species simultaneously, namely Alexandrium tamarense, Gyrodinium instriatum, Heterosigma akashiwo, Karenia mikimotoi, Prorocentrum donghaiense, Prorocentrum minimum, Ulva compressa, Ulva ohnoi and Ulva prolifera. This method achieved a limit of detection (LOD) of 0.5 ng of genomic DNA (orders of magnitude of the deci-nanogram range) in the tested algae cultures. Altogether, 230 field samples from ship ballast waters and seaport waters were used to evaluate the DNA microarray. The clinical sensitivity and specificity of the DNA microarray assay in detecting field samples were 96.4% and 90.9%, respectively, relative to conventional morphological methods. This indicated that this high-throughput, automatic, and specific method is well suited for the detection of algae in water samples.