Department of Biomolecular Sciences, University of Urbino, Pesaro, Italy.
ISMAR-CNR, Istituto di Scienze Marine, Consiglio Nazionale delle Ricerche, Venezia, Italy.
Mar Pollut Bull. 2019 Oct;147:209-218. doi: 10.1016/j.marpolbul.2018.06.013. Epub 2018 Jun 15.
Cyst abundance and identity are essential for understanding and predicting blooms, and for assessing the dispersal of toxic target dinoflagellate species by natural or human mediated ways, as with ballast waters. The aim of this study was to apply rapid, specific and sensitive qPCR assays to enumerate toxic dinoflagellate cysts in sediment samples collected from Adriatic harbours. The molecular standard curves of various target species allowed obtaining the rDNA copy number per cyst. The analytical sensitivity for specific standard curves was determined to be 2 or 10 rDNA copies per reaction. The abundance varied in the range of 1-747 dinoflagellate cysts g dry weight. The assays showed greater sensitivity as compared to counts by light microscopy. This qPCR method revealed a powerful tool for the quantification of cysts from toxic dinoflagellate resting stages in sediment samples from Adriatic ports.
研究旨在运用快速、特异和灵敏的 qPCR 检测方法,对取自亚得里亚海港口沉积物样本中的有毒甲藻孢囊进行计数。各目标种属的分子标准曲线可得到每个孢囊的 rDNA 拷贝数。特定标准曲线的分析灵敏度被确定为每个反应 2 或 10 rDNA 拷贝。丰度变化范围为 1-747 个甲藻孢囊/g 干重。与光镜计数相比,该检测方法显示出更高的灵敏度。这种 qPCR 方法是定量分析亚得里亚海港口沉积物样本中有毒甲藻休眠阶段孢囊的有力工具。