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中国沿海水域有害甲藻(东亚基因型)的检测与定量分析。

Detection and Quantification of the Harmful Dinoflagellate (East Asian Ribotype) in the Coastal Waters of China.

机构信息

Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China.

Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China.

出版信息

Toxins (Basel). 2022 Jan 25;14(2):95. doi: 10.3390/toxins14020095.

Abstract

As a marine ichthyotoxic dinoflagellate, , previously named , have caused mass mortalities of fish worldwide during blooms. Rapid detection of target species is a prerequisite for the timely monitoring and early warning of harmful algal blooms (HABs). However, it is difficult to achieve rapid identification with traditional methods. The technology of using quantitative real-time PCR (qPCR) to detect and quantify microalgae is relatively mature. Based on the accuracy, rapidity, and sensitivity of qPCR technology, it can be used in the monitoring and development of early warning systems for HABs. From 2017 to 2020, samples were collected from 15 locations off the Chinese coast or from local sea areas. Based on the qPCR detection and analysis, the target species, (East Asian ribotype, EAr), was found in samples from Tianjin, Yangtze River estuary, and offshore Fujian (East China Sea). This is the first time that (EAr) was detected in the coastal waters of Tianjin. The results reveal a distributive pattern of (EAr) along Chinese coastal waters. It is helpful to predict the future diffusion trend of (EAr) in the China Sea and provides a practical case for the future construction of monitoring and warning systems for and HABs.

摘要

作为一种海洋鱼毒性甲藻,以前被命名为,在赤潮期间在全球范围内导致了鱼类的大量死亡。目标物种的快速检测是及时监测和早期预警有害藻华(HAB)的前提。然而,传统方法很难实现快速识别。使用定量实时 PCR(qPCR)检测和定量微藻的技术相对成熟。基于 qPCR 技术的准确性、快速性和敏感性,它可以用于 HAB 监测和预警系统的开发。2017 年至 2020 年,从中国沿海或当地海域的 15 个地点采集了样本。基于 qPCR 检测和分析,在天津、长江口和福建近海(东海)的样本中发现了目标物种(东亚株型,EAr)。这是首次在天津沿海水域检测到(EAr)。结果揭示了(EAr)在中国沿海水域的分布模式。这有助于预测未来(EAr)在中国海的扩散趋势,并为未来(EAr)和 HAB 的监测和预警系统的建设提供了一个实际案例。

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