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首页> 外文期刊>Cytometry: The Journal of the Society for Analytical Cytology >Phytoplankton group dynamics in the Bay of Marseilles during a 2-year survey based on analytical flow cytometry
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Phytoplankton group dynamics in the Bay of Marseilles during a 2-year survey based on analytical flow cytometry

机译：基于分析流式细胞术的马赛湾浮游植物群动力学研究历时两年

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Background: The Bay of Marseilles is under the influence of a large urban concentration and its maritime activities. All of them discharge compounds (hydrocarbons, excess nutrients, heavy metals, chemicals, etc.) that can alter the marine ecosystem. To investigate whether ultra-phytoplankton (< 10 mum) could be used as biosensors for their own ecosystem, a 2-year survey was conducted in the Bay of Marseilles. Methods: Seven stations monitored water mass and potential anthropic effects in the bay. Seawater samples were collected monthly or bimonthly at three depths, prefiltered, fixed, and kept in liquid nitrogen until flow cytometric analysis. Results: Five categories were created: Prochlorococcus, picoeukaryotes (<2 mum), nanoeukaryotes I (2-6 mum), nanoeukaryotes II (6-10 mum), and Synechococcus (<1.5 mum). Artificial neural network analysis (Kohonen self-organizing maps) produced the same number of clusters as cluster analysis with Winlist software (Verity Software House). Conclusions: In addition to the wide variabilities in abundance and biomass, there were a strong seasonal signal and sporadic events. Lessons are derived from this study for future monitoring of marine microorganisms. (C) 2001 Wiley Liss, Inc. [References: 49]
机译：背景：马赛湾受到大型城市集中地及其海上活动的影响。它们全部排放出会改变海洋生态系统的化合物（碳氢化合物，过量的养分，重金属，化学物质等）。为了研究浮游植物（<10微米）是否可用作其自身生态系统的生物传感器，在马赛湾进行了为期2年的调查。方法：七个站监测了海湾的水量和潜在的人类影响。每月或每两个月在三个深度收集海水样品，进行预过滤，固定并保存在液氮中，直到流式细胞仪分析为止。结果：创建了五类：原球菌，微核生物（<2微米），纳米真核生物I（2-6微米），纳米真核生物II（6-10微米）和Synocococcus（<1.5微米）。人工神经网络分析（Kohonen自组织图）产生的聚类数量与Winlist软件（Verity Software House）的聚类分析数量相同。结论：除了丰度和生物量的广泛变化外，还有强烈的季节性信号和零星事件。从这项研究中学到的经验教训可用于将来对海洋微生物的监测。 （C）2001 Wiley Liss，Inc. [参考：49]

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