The distribution of phytoplankton in the Baltic Sea assessed by a prokaryotic 16S rRNA gene primer system
The distribution of phytoplankton in the Baltic Sea assessed by a prokaryotic 16S rRNA gene primer system
复制标题
DOI：
10.1093/plankt/fby008
复制
发表时间：
2018-05-01
影响因子：
2.1
通讯作者：
Labrenz, M.
中科院分区：
文献类型：
--
作者：
Bennke, C. M.;Pollehne, F.;Labrenz, M.
由于蓝藻和所有产氧真核光合自养生物叶绿体之间的进化关系，两者都可以用原核16S rRNA基因引物扩增。在海水样品中，叶绿体序列通常占16S rRNA基因文库的50%，但由于在有限的叶绿体数据库中系统发育分辨率相对较低，它们通常被从进一步的分析中删除。然而，叶绿体16S rRNA基因数据库正在不断完善，我们的目的是测试，如果组合的16S rRNA基因序列的光养原核生物和真核生物产生的原核引物集可以用来表征它们的分布。使用phytoREF数据库，对整个波罗的海（细胞> 0.2 μ m）的样品进行原位16S rRNA基因分布表征，并与显微镜（细胞> 20 μ m）以及流式细胞仪（细胞< 7 μ m）数据进行比较。一般来说，显微镜和分子生物学方法显示硅藻，绿藻和丝状蓝藻的分布模式相似。虽然不能直接比较，但流式细胞术在非常广泛的分类水平上向分子方法提供了半定量模式。总之，分子和非分子分析的结合提供了一个更好的概述的光养社会，证明其有用的监测战略的工具。
Due to the evolutionary relationship between cyanobacteria and chloroplasts of all oxygenic eukaryotic photoautotrophs, both can be amplified by prokaryotic 16S rRNA gene primers. In marine water samples, chloroplast sequences often make up as much as 50% of a 16S rRNA gene library, yet because of the comparatively low phylogenetic resolution within limited chloroplast databases, they are usually removed from further analyses. However, chloroplast 16S rRNA gene databases are constantly improving and our aim was to test if the combined 16S rRNA gene sequences of phototrophic prokaryotes and eukaryotes generated by a prokaryotic primer set could be used to characterize their distribution. Using the phytoREF database, in situ 16S rRNA gene distribution characterization was performed for samples throughout the Baltic Sea (cells > 0.2 mu m) and compared to microscopic (cells > 20 mu m) as well as flow-cytometric (cells < 7 mu m) data. Generally, microscopic and molecular methods revealed similar distribution patterns of diatoms, chlorophytes and filamentous cyanobacteria. Although not directly comparable, flow cytometry delivered semi-quantitative patterns, on a very broad classification level, to the molecular approach. In conclusion, the combination of molecular and non-molecular analyses provided an improved overview of the phototrophic community, demonstrating its usefulness as a tool in monitoring strategies.