Assessment of source tracking methods for application in spring water.

For discriminating between human and animal faecal contamination in water, microbial source tracking (MST) approaches using different indicators have been employed. In the current study, a range of 10 such MST indicators described in the scientific literature were comparatively assessed. Bacteriophages infecting host strains of Bacteroides (GA-17, GB-124 and ARABA 84) as well as sorbitol-fermenting bifidobacteria proved useful for indicating human faecal contamination while Rhodococcus coprophilus was associated with animal-derived faecal contamination. These potential source indicators were present in samples of faecal origin, i.e. either in human wastewater or animal waste, from many different regions in Switzerland and therefore showed a geographic stability. In addition, the MST indicators were abundant in surface water and were even sensitive enough to detect faecal contamination in spring water from two study areas in Switzerland. This is the first study that has compared and successfully applied MST methods in spring water.

Identification of fecal input sites in spring water by selection and genotyping of multiresistant Escherichia coli.

The localization of fecal input sites is important for water quality management. For this purpose, we have developed a new approach based on a three-step procedure, including a preparatory phase, the screening of multiresistant bacteria using selective agar plates, and a typing phase where selected Escherichia coli isolates are characterized by antibiotic resistance profiles and molecular fingerprinting techniques (pulsed-field gel electrophoresis [PFGE]). These two well-known source tracking methods were combined in order to reduce cost and effort. This approach was successfully applied under field conditions in a study area located in the north-western part of Switzerland. E. coli isolates from spring water and surface water samples collected in this area were screened with selective agar plates. In this way, 21 different groups, each consisting of strains with the same pattern of antibiotic resistance, were found. Of these, four groups were further analyzed using PFGE. Strains with identical PFGE profiles were detected repeatedly, demonstrating the suitability of this method for the localization of fecal input sites over an extended period of time. Identical PFGE patterns of strains detected in water from two different springs were also found in the stream flowing through the study area. These results demonstrated the applicability of the new approach for the examination of incidents of fecal contamination in drinking water. The advantages of the described approach over genotyping methods currently being used to identify sources of fecal contaminants are a reduction in time, costs, and the effort required. Identical isolates could be identified without the construction of large libraries.