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Molecular Fingerprinting of Cyanobacteria from River Biofilms as a Water Quality Monitoring Tool

机译:河流生物膜中蓝细菌的分子指纹作为水质监测工具

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Benthic cyanobacterial communities from Guadarrama River (Spain) biofilms were examined using temperature gradient gel electrophoresis (TGGE), comparing the results with microscopic analyses of field-fixed samples and the genetic characterization of cultured isolates from the river. Changes in the structure and composition of cyanobacterial communities and their possible association with eutrophication in the river downstream were studied by examining complex TGGE patterns, band extraction, and subsequent sequencing of 16S rRNA gene fragments. Band profiles differed among sampling sites depending on differences in water quality. The results showed that TGGE band richness decreased in a downstream direction, and there was a clear clustering of phylotypes on the basis of their origins from different locations according to their ecological requirements. Multivariate analyses (cluster analysis and canonical correspondence analysis) corroborated these differences. Results were consistent with those obtained from microscopic observations of field-fixed samples. According to the phylogenetic analysis, morphotypes observed in natural samples were the most common phylotypes in the TGGE sequences. These phylotypes were closely related to Chamaesiphon, Aphanocapsa, Pleurocapsa, Cyanobium, Pseudanabaena, Phormidium, and Leptolyngbya. Differences in the populations in response to environmental variables, principally nutrient concentrations (dissolved inorganic nitrogen and soluble reactive phosphorus), were found. Some phylotypes were associated with low nutrient concentrations and high levels of dissolved oxygen, while other phylotypes were associated with eutrophic-hypertrophic conditions. These results support the view that once a community has been characterized and its genetic fingerprint obtained, this technique could be used for the purpose of monitoring rivers.
机译:使用温度梯度凝胶电泳(TGGE)检查了瓜达拉马河(西班牙)生物膜的底栖蓝藻群落,并将其与显微镜下的实地固定样品和从河中培养的分离物的遗传特征进行了比较。通过检查复杂的TGGE模式,谱带提取和随后的16S rRNA基因片段测序,研究了下游河流中蓝藻群落结构和组成的变化及其与富营养化的可能关系。根据水质的不同,采样点之间的谱带特征也不同。结果表明,TGGE谱带丰富度沿下游方向降低,根据其生态学要求,根据不同地区的起源对系统型进行了清晰的聚类。多变量分析(聚类分析和规范对应分析)证实了这些差异。结果与从现场固定样品的显微镜观察获得的结果一致。根据系统发育分析,在天然样品中观察到的形态型是TGGE序列中最常见的系统型。这些系统型与Chamaesiphon,Aphanocapsa,Pleurocapsa,Cyanobium,Pseudanabaena,Pormidium和Leptolyngbya密切相关。发现人口对环境变量的响应存在差异,主要是养分浓度(溶解的无机氮和可溶性反应性磷)。一些系统型与低养分浓度和高水平的溶解氧有关,而其他系统型与富营养化-肥大状况相关。这些结果支持这样的观点,即一旦确定了一个群落的特征并获得了其遗传指纹,该技术便可以用于监测河流的目的。

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