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浮游植物群落演替塑造中国太湖浮游细菌群落组成。

Phytoplankton community succession shaping bacterioplankton community composition in Lake Taihu, China.

机构信息

Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology of China, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, PR China.

出版信息

Water Res. 2011 Aug;45(14):4169-82. doi: 10.1016/j.watres.2011.05.022. Epub 2011 May 31.

DOI:10.1016/j.watres.2011.05.022
PMID:21684570
Abstract

PCR-denaturing gradient gel electrophoresis (DGGE) and canonical correspondence analysis (CCA) were used to explore the relationship between succession of phytoplankton community and temporal variation of bacterioplankton community composition (BCC) in the eutrophic Lake Taihu. Serious Microcystis bloom was observed in July-December 2008 and Bacillariophyta and Cryptophyta dominated in January-June 2009. BCC was characterized by DGGE of 16S rRNA gene with subsequent sequencing. The DGGE banding patterns revealed a remarkable seasonality which was closely related to phytoplankton community succession. Variation trend of Shannon-Wiener diversity index in bacterioplankton community was similar to that of phytoplankton community. CCA revealed that temperature and phytoplankton played key roles in structuring BCC. Sequencing of DGGE bands suggested that the majority of the sequences were affiliated with common phylogenetic groups in freshwater: Alphaproteobacteria, Betaproteobacteria, Bacteroidetes and Actinobacteria. The cluster STA2-30 (affiliated with Actinobacteria) was found almost across the sampling time at the two study sites. We observed that the family Flavobacteriaceae (affiliated with Bacteroidetes) tightly coupled to diatom bloom and the cluster ML-5-51.2 (affiliated with Actinobacteria) dominated the bacterioplankton communities during Microcystis bloom. These results were quite similar at the two sampling sites, indicating that BCC changes were not random but with fixed pattern. Our study showed insights into relationships between phytoplankton and bacterioplankton communities at species level, facilitating a better understanding of microbial loop and ecosystem functioning in the lake.

摘要

PCR-变性梯度凝胶电泳(DGGE)和典范对应分析(CCA)被用于探究富营养化太湖浮游植物群落演替与浮游细菌群落组成(BCC)时间变化之间的关系。2008 年 7 月至 12 月期间出现了严重的微囊藻水华,而 2009 年 1 月至 6 月期间则以硅藻和隐藻为主。BCC 采用 16S rRNA 基因的 DGGE 进行了特征分析,随后进行了测序。DGGE 条带模式显示出明显的季节性,与浮游植物群落演替密切相关。浮游细菌群落的 Shannon-Wiener 多样性指数的变化趋势与浮游植物群落相似。CCA 表明温度和浮游植物对 BCC 的结构起着关键作用。DGGE 条带的测序表明,大多数序列与淡水常见的系统发育群有关:α变形菌纲、β变形菌纲、拟杆菌门和放线菌门。在两个研究点几乎整个采样时间都可以发现聚类 STA2-30(与放线菌门有关)。我们观察到,黄杆菌科(与拟杆菌门有关)与硅藻水华紧密相关,而聚类 ML-5-51.2(与放线菌门有关)在微囊藻水华期间主导了浮游细菌群落。这两个采样点的结果非常相似,表明 BCC 的变化不是随机的,而是有固定的模式。我们的研究揭示了浮游植物和浮游细菌群落在物种水平上的关系,有助于更好地理解微生物环和湖泊生态系统的功能。

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