Shanks Orin C, Nietch Christopher, Simonich Michael, Younger Melissa, Reynolds Don, Field Katharine G
National Risk Management Research Laboratory, U.S. Enviromental Protection Agency Office of Research and Development, Cincinnati, Ohio, USA.
Appl Environ Microbiol. 2006 Aug;72(8):5537-46. doi: 10.1128/AEM.03059-05.
The objectives of this study were to elucidate spatial and temporal dynamics in source-specific Bacteroidales 16S rRNA genetic marker data across a watershed; to compare these dynamics to fecal indicator counts, general measurements of water quality, and climatic forces; and to identify geographic areas of intense exposure to specific sources of contamination. Samples were collected during a 2-year period in the Tillamook basin in Oregon at 30 sites along five river tributaries and in Tillamook Bay. We performed Bacteroidales PCR assays with general, ruminant-source-specific, and human-source-specific primers to identify fecal sources. We determined the Escherichia coli most probable number, temperature, turbidity, and 5-day precipitation. Climate and water quality data collectively supported a rainfall runoff pattern for microbial source input that mirrored the annual precipitation cycle. Fecal sources were statistically linked more closely to ruminants than to humans; there was a 40% greater probability of detecting a ruminant source marker than a human source marker across the basin. On a sample site basis, the addition of fecal source tracking data provided new information linking elevated fecal indicator bacterial loads to specific point and nonpoint sources of fecal pollution in the basin. Inconsistencies in E. coli and host-specific marker trends suggested that the factors that control the quantity of fecal indicators in the water column are different than the factors that influence the presence of Bacteroidales markers at specific times of the year. This may be important if fecal indicator counts are used as a criterion for source loading potential in receiving waters.
本研究的目的是阐明整个流域特定来源拟杆菌门16S rRNA基因标记数据的时空动态;将这些动态与粪便指示菌数量、水质常规测量值和气候因素进行比较;并确定受特定污染源强烈影响的地理区域。在为期两年的时间里,在俄勒冈州蒂拉穆克盆地沿五条河流支流的30个地点以及蒂拉穆克湾采集了样本。我们使用通用引物、反刍动物源特异性引物和人源特异性引物进行拟杆菌门PCR检测,以确定粪便来源。我们测定了大肠杆菌的最可能数、温度、浊度和5天降水量。气候和水质数据共同支持了微生物源输入的降雨径流模式,该模式反映了年降水周期。从统计学角度来看,粪便来源与反刍动物的联系比与人类的联系更为紧密;在整个流域,检测到反刍动物源标记的概率比检测到人类源标记的概率高40%。基于样本地点,粪便来源追踪数据的添加提供了新的信息,将粪便指示菌负荷升高与流域内粪便污染的特定点源和非点源联系起来。大肠杆菌和宿主特异性标记趋势的不一致表明,控制水柱中粪便指示菌数量的因素与影响一年中特定时间拟杆菌门标记物存在的因素不同。如果将粪便指示菌数量用作接收水体中源负荷潜力的标准,这可能很重要。