Vogel Jason R, Stoeckel Donald M, Lamendella Regina, Zelt Ronald B, Santo Domingo Jorge W, Walker Steven R, Oerther Daniel B
USGS, 5231 S. 19th St., Lincoln, NE 68512, USA.
J Environ Qual. 2007 Apr 5;36(3):718-29. doi: 10.2134/jeq2006.0246. Print 2007 May-Jun.
Given known limitations of current microbial source-tracking (MST) tools, emphasis on small, simple study areas may enhance interpretations of fecal contamination sources in streams. In this study, three MST tools-Escherichia coli repetitive element polymerase chain reaction (rep-PCR), coliphage typing, and Bacteroidales 16S rDNA host-associated markers-were evaluated in a selected reach of Plum Creek in south-central Nebraska. Water-quality samples were collected from six sites. One reach was selected for MST evaluation based on observed patterns of E. coli contamination. Despite high E. coli concentrations, coliphages were detected only once among water samples, precluding their use as a MST tool in this setting. Rep-PCR classification of E. coli isolates from both water and sediment samples supported the hypothesis that cattle and wildlife were dominant sources of fecal contamination, with minor contributions by horses and humans. Conversely, neither ruminant nor human sources were detected by Bacteroidales markers in most water samples. In bed sediment, ruminant- and human-associated Bacteroidales markers were detected throughout the interval from 0 to 0.3 m, with detections independent of E. coli concentrations in the sediment. Although results by E. coli-based and Bacteroidales-based MST methods led to similar interpretations, detection of Bacteroidales markers in sediment more commonly than in water indicates that different tools to track fecal contamination (in this case, tools based on Bacteroidales DNA and E. coli isolates) may have varying relevance to the more specific goal of tracking the sources of E. coli in watersheds. This is the first report of simultaneous, toolbox approach application of a library-based and marker-based MST analyses to flowing surface water.
鉴于当前微生物源追踪(MST)工具存在已知局限性,将重点放在小而简单的研究区域可能会增强对溪流中粪便污染源的解读。在本研究中,在内布拉斯加州中南部的李子溪选定河段对三种MST工具——大肠杆菌重复元件聚合酶链反应(rep-PCR)、噬菌体分型和拟杆菌16S rDNA宿主相关标记物——进行了评估。从六个地点采集了水质样本。根据观察到的大肠杆菌污染模式选择了一个河段进行MST评估。尽管大肠杆菌浓度很高,但在水样中仅检测到一次噬菌体,这排除了在这种情况下将其用作MST工具的可能性。对水和沉积物样本中的大肠杆菌分离株进行的rep-PCR分类支持了以下假设:牛和野生动物是粪便污染的主要来源,马和人类的贡献较小。相反,在大多数水样中,拟杆菌标记物未检测到反刍动物或人类来源。在河床沉积物中,在0至0.3米的整个区间都检测到了与反刍动物和人类相关的拟杆菌标记物,其检测结果与沉积物中的大肠杆菌浓度无关。尽管基于大肠杆菌和基于拟杆菌的MST方法得出的结果导致了相似的解读,但在沉积物中比在水中更常见地检测到拟杆菌标记物,这表明追踪粪便污染的不同工具(在这种情况下,基于拟杆菌DNA和大肠杆菌分离株的工具)可能与追踪流域中大肠杆菌来源这一更具体目标具有不同的相关性。这是将基于文库和基于标记的MST分析同时采用工具箱方法应用于流动地表水的首次报告。