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引用本文:陈芸燕,孙晓霞,朱明亮.基于浮游植物流式细胞仪对胶州湾春季浮游植物的研究[J].海洋科学,2017,41(6):72-78.
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基于浮游植物流式细胞仪对胶州湾春季浮游植物的研究
陈芸燕1,2, 孙晓霞1,3, 朱明亮1
1.中国科学院海洋研究所 胶州湾海洋生态系统国家野外科学观测研究站;2.中国科学院大学;3.青岛海洋科学与技术国家实验室 海洋生态与环境科学功能实验室
摘要:
本文基于浮游植物流式细胞仪CytoSub对2014年春季胶州湾浮游植物功能群组成及其与环境因子的关系开展研究。CytoSub共检测出6个浮游植物类群, 分别是聚球藻、微微型真核浮游植物、隐藻、微型单细胞藻、小型单细胞藻和链状藻。多元统计分析显示胶州湾春季浮游植物可划分为两个群落, 群落1 主要由湾外站位组成, 浮游植物生物量浓度为15.15 μg/L(以碳含量计, 以下同), 以小型单细胞藻、链状藻和微型单细胞藻为主; 群落2主要由湾内站位组成, 浮游植物生物量浓度为72.83μg/L, 以链状藻为主。胶州湾的优势类群为链状藻, 其丰度与水温和营养盐浓度呈显著正相关关系。与其他浮游植物粒级研究方法的比较表明, 当调查海域优势种为小粒径的链状藻时, 该方法能够快速、准确地测量出各个浮游植物类群的粒径参数, 从而推算出浮游植物群落的粒级结构。
关键词:  浮游植物  浮游植物流式细胞仪  流式细胞术  粒径分析法  胶州湾
DOI:10.11759/hykx 20160726001
分类号:
基金项目:中国科学院海洋专项项目(No. XDA11030204)、国家973项目(2014CB441504)
High-resolution analysis of Jiaozhou Bay phytoplankton community structure based on automated submerged flow cytometer during spring
CHEN Yun-yan,SUN Xiao-xia,ZHU Ming-liang
Abstract:
This study presents an integrated analysis of the phytoplankton community of Jiaozhou Bay during the spring of 2014 using CytoSub, an automated submersible flow cytometry method. Data treatment was conducted onthe basis of pulse shape analysis and resolved six clusters, which were named Synechococcus, picoeukaryotes, cryptophytes, nanoeukaryotes, microeukaryotes, and chainseukaryotes. Primer analysis showed that Jiaozhou Bay phytoplankton mainly included 2 phytoplankton groups; group 1 mainly comprised stations out of JiaozhouBay and group 2 mainly comprised stations inside Jiaozhou Bay. The phytoplankton biomass of group 1 (15.15 μg C/L) was lower than that of group 2 (72.83μg C/L). Group 1 was mainly composed of nanoeukaryotes, chainseukaryotes, and microeukaryotes, while group 2 was mainly composed of chainseukaryotes. Chainseukaryotes were predominant in Jiaozhou Bay and positively correlated with temperature and nutrients. Compared to other phytoplankton size fraction analysis methods, CytoSub provided an accurate evaluation of the phytoplankton community dominated by the chainseukaryotes.
Key words:  Phytoplankton  CytoSub  Flow Cytometry  size fraction analysis  Jiaozhou Bay
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