| 引用本文: | 胡晓坤,赵越,孔凡洲,张清春,严冰,于仁成.流式影像仪在东海海域甲藻藻华研究中的应用.海洋与湖沼,2022,53(2):330-339. |
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| 流式影像仪在东海海域甲藻藻华研究中的应用 |
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胡晓坤1,2, 赵越3, 孔凡洲1,4,5, 张清春1,4,5, 严冰6, 于仁成1,4,2,5
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1.中国科学院海洋研究所 海洋生态与环境科学重点实验室 山东青岛 266071;2.中国科学院大学 北京 100049;3.山东科技大学 海洋科学与工程学院 山东青岛 266590;4.青岛海洋科学与技术试点国家实验室 海洋生态与环境科学功能实验室 山东青岛 266237;5.中国科学院海洋大科学研究中心山东青岛 266071;6.暨南大学 生命科学技术学院 广东广州 510632
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| 摘要: |
| 有害藻华对海水养殖、人类健康和生态安全构成威胁,已成为全球性的生态灾害。近20年来,米氏凯伦藻(Karenia mikimotoi)、东海原甲藻(Prorocentrum donghaiense)等甲藻形成的有害藻华在东海海域连年暴发,其频率高、危害大,形成及演变机理复杂,对藻华原因种进行监测是开展有害藻华预警和防控的有效手段之一。流式影像技术是显微镜与流式细胞术相结合的手段,能快速分析并记录流动液体中的微粒,基于此方法的流式影像仪(FlowCam)能实现对浮游植物样本的高通量处理,可对海洋环境中的有害藻华原因种进行原位监测。研究以米氏凯伦藻和东海原甲藻为目标藻种,建立了东海原甲藻、米氏凯伦藻细胞影像库,通过室内实验测试了FlowCam计数和识别的准确性,并结合航次调查将FlowCam应用于福建近海甲藻藻华的现场检测。结果表明,FlowCam对米氏凯伦藻的计数结果与显微镜观察结果无显著差异,且两者存在极显著的线性相关性(P<0.01)。应用FlowCam自带图像分析软件VisualSpreadsheet,可以实现对混合藻液中目标藻种的自动识别和计数,但对目标藻种的准确识别还需结合人工判读辅助。在2018年4月至6月期间福建近海有害藻华的调查研究中,基于FlowCam计数的东海原甲藻密度与显微镜观察计数结果基本一致,并检测到低密度(<120cells/L)的凯伦藻,表明FlowCam可有效应用于有害藻华的现场监测,有望在今后有害藻华监测和预警中发挥更大作用。 |
| 关键词: 流式影像仪 米氏凯伦藻 东海原甲藻 有害藻华 东海 |
| DOI：10.11693/hyhz20210700171 |
| 分类号:X55 |
| 基金项目:科技部重点研发项目,2017YFC1404304号;中国科学院地球大数据战略先导专项,XDA19060203号。 |
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| APPLICATION OF FLOWCAM IN THE STUDY OF A DINOFLAGELLATE BLOOM IN THE EAST CHINA SEA |
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HU Xiao-Kun1,2, ZHAO Yue3, KONG Fan-Zhou1,4,5, ZHANG Qing-Chun1,4,5, YAN Bing6, YU Ren-Cheng1,4,2,5
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1.CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;2.University of Chinese Academy of Sciences, Beijing 100049, China;3.College of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China;4.Key Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China;5.Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China;6.College of Life Science and Technology, Jinan University, Guangzhou 510632, China
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| Abstract: |
| Harmful algal blooms (HABs) pose significant threats to aquaculture, human health and marine environment, and have become a global issue of ecological disaster. Dinoflagellate blooms caused by Karenia mikimotoi and Prorocentrum donghaiense in the East China Sea occurred nearly every year after 2000. Due to the complicated mechanism of these blooms, monitoring of causative species became an effective means for early-warning of HABs. FlowCam is a type of new equipment based on microscopy and flow cytometry, which can analyze particles in the flowing medium. It can realize high-throughput analysis of phytoplankton samples, which can be applied in real-time in situ monitoring of HABs. Image databases of dinoflagellates K. mikimotoi and P. donghaiense were established, and the accuracy and specificity of FlowCam in detecting the two species were tested. According to the results, FlowCam is accurate in cell-counting, and there is no significant difference from the results by microscope observation. FlowCam can automatically identify the target species in mixed algal samples. A large image database will increase the recall of K. mikimotoi and P. donghaiense cells, while decrease the precision in identification of the target species. The accurate identification and counting, therefore, still need the assistance of artificial interpretation of results. FlowCam was applied to detect the two target species during a bloom of dinoflagellates in the coastal water of Fujian province from April to June in 2018. Low abundance of Kareniacean cells (<120 cells/L) was detected, and the abundance of P. donghaiense determined by FlowCam was consisted with microscope observation. FlowCam can be effectively used in field monitoring of HABs, and it is expected to play a greater role in the HABs monitoring and early warning in the future. |
| Key words: FlowCam Karenia mikimotoi Prorocentrum donghaiense harmful algal bloom East China Sea |
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