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湖泊蓝藻群落的分子指纹图谱:夏季多样性的区域模式。

Molecular fingerprinting of lacustrian cyanobacterial communities: regional patterns in summer diversity.

机构信息

Department of Environmental Science, School of Science, Centre for Environmental Research, Innovation and Sustainability, Institute of Technology Sligo, Sligo, Ireland.

出版信息

FEMS Microbiol Ecol. 2013 Dec;86(3):444-57. doi: 10.1111/1574-6941.12172. Epub 2013 Jul 17.

Abstract

The assessment of lacustrian water quality is necessary to comply with environmental regulations. At the regional scale, difficulties reside in the selection of representative lakes. Given the risks towards water quality associated with phytoplankton blooms, a mesoscale survey was carried out in Irish lakes to identify patterns in the distribution and diversity of planktonic cyanobacteria. A stratified sampling strategy was carried out via geographic information systems (GIS) analysis of river catchment attributes due to the range of hydrogeomorphological features and the high number of lakes within the study area. 16S rRNA gene denaturing gradient gel electrophoresis analysis showed variation between the cyanobacterial communities sampled, with lower occurrence of cyanobacteria in August concomitant to increased wind and precipitation regimes. Multivariate analysis delineated three ecoregions based on land cover typology and revealed significant patterns in the distribution of cyanobacterial diversity. A majority of filamentous cyanobacteria genotypes occurred in larger lakes contained river catchments with substantial forest cover. In contrast, higher diversity of spherical cyanobacteria genotypes was observed in lakes of lesser trophic state. In the context of aquatic resource management, the combined use of GIS-based sampling strategy and molecular methods offers promising prospects for assessing microbial community structure at varying scales of space and time.

摘要

湖泊水质评估是符合环境法规的必要条件。在区域尺度上,存在选择具有代表性湖泊的困难。鉴于浮游植物大量繁殖对水质的风险,在爱尔兰湖泊中进行了中尺度调查,以确定浮游蓝藻的分布和多样性模式。由于水文地貌特征的范围和研究区域内湖泊数量众多,通过地理信息系统(GIS)对河流集水区属性进行了分层采样策略。16S rRNA 基因变性梯度凝胶电泳分析显示,所采样的蓝藻群落之间存在差异,8 月蓝藻的出现频率较低,同时风况和降水情况增加。多变量分析根据土地覆盖类型学划定了三个生态区,并揭示了蓝藻多样性分布的显著模式。大多数丝状蓝藻基因型出现在具有大量森林覆盖的河流集水区的较大湖泊中。相比之下,在营养状态较低的湖泊中观察到球形蓝藻基因型的多样性更高。在水生资源管理方面,基于 GIS 的采样策略和分子方法的结合为评估不同时空尺度的微生物群落结构提供了有前景的前景。

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