Kuntz Robin L, Hartel Peter G, Godfrey Dominique G, McDonald Jennifer L, Gates Keith W, Segars William I
Department of Crop and Soil Sciences, 3111 Plant Sciences, University of Georgia, Athens, GA 30602-7272, USA.
J Environ Qual. 2003 Nov-Dec;32(6):2311-8. doi: 10.2134/jeq2003.2311.
Recent studies suggest that host origin databases for bacterial source tracking (BST) must contain a large number of isolates because bacterial subspecies change with geography and time. A new targeted sampling protocol was developed as a prelude to BST to minimize these changes. The research was conducted on the Sapelo River, a tidal river on the Georgia coast. A general sampling of the river showed fecal enterococcal numbers ranging from <10 (below the limit of detection) to 990 colony-forming units (CFU) per 100 mL. Locations with high enterococcal numbers were combined with local knowledge to determine targeted sampling sites. Fecal enterococcal numbers around one site ranged from <10 to 24,000 CFU per 100 mL. Bacterial source tracking was conducted to determine if a wastewater treatment facility at the site was responsible for this contamination. The fecal indicator bacterium was Enterococcus faecalis. Ribotyping, automated with a RiboPrinter (DuPont Qualicon, Wilmington, DE), was the BST method. Thirty-seven ribotypes were observed among 83 Ent. faecalis isolates obtained from the Sapelo River and the wastewater lagoon. Sixteen ribotypes were associated with either the river or the lagoon, and only five ribotypes (14%) were shared. Nevertheless, these five ribotypes represented 39 of the 83 Ent. faecalis isolates, almost a majority (47%). These results suggest that the fecal contamination in the river came from the wastewater treatment facility. As a prelude to BST, targeted sampling minimized subspecies changes with geography and time, and eliminated the need for a permanent host origin database by restricting BST to a small geographic area and requiring sampling to be completed in one day.
近期研究表明,用于细菌溯源追踪(BST)的宿主来源数据库必须包含大量分离株,因为细菌亚种会随地理和时间发生变化。作为BST的前奏,开发了一种新的靶向采样方案,以尽量减少这些变化。该研究在佐治亚州海岸的潮汐河萨佩洛河上进行。对该河的一般采样显示,每100毫升粪便肠球菌数量从<10(低于检测限)到990菌落形成单位(CFU)不等。将肠球菌数量高的地点与当地知识相结合,以确定靶向采样点。一个采样点周围的粪便肠球菌数量每100毫升从<10到24000 CFU不等。进行细菌溯源追踪,以确定该地点的废水处理设施是否是这种污染的源头。粪便指示菌为粪肠球菌。使用RiboPrinter(杜邦Qualicon公司,特拉华州威尔明顿)进行自动化操作的核糖体分型是BST方法。从萨佩洛河和废水泻湖获得的83株粪肠球菌分离株中观察到37种核糖体分型。16种核糖体分型与河流或泻湖相关,只有5种核糖体分型(14%)是共有的。然而,这5种核糖体分型代表了83株粪肠球菌分离株中的39株,几乎占多数(47%)。这些结果表明,河流中的粪便污染来自废水处理设施。作为BST的前奏,靶向采样最大限度地减少了亚种随地理和时间的变化,并通过将BST限制在一个小地理区域并要求在一天内完成采样,消除了对永久性宿主来源数据库的需求。