Quantitative microbial faecal source tracking with sampling guided by hydrological catchment dynamics.

The impairment of water quality by faecal pollution is a global public health concern. Microbial source tracking methods help to identify faecal sources but the few recent quantitative microbial source tracking applications disregarded catchment hydrology and pollution dynamics. This quantitative microbial source tracking study, conducted in a large karstic spring catchment potentially influenced by humans and ruminant animals, was based on a tiered sampling approach: a 31-month water quality monitoring (Monitoring) covering seasonal hydrological dynamics and an investigation of flood events (Events) as periods of the strongest pollution. The detection of a ruminant-specific and a human-specific faecal Bacteroidetes marker by quantitative real-time PCR was complemented by standard microbiological and on-line hydrological parameters. Both quantitative microbial source tracking markers were detected in spring water during Monitoring and Events, with preponderance of the ruminant-specific marker. Applying multiparametric analysis of all data allowed linking the ruminant-specific marker to general faecal pollution indicators, especially during Events. Up to 80% of the variation of faecal indicator levels during Events could be explained by ruminant-specific marker levels proving the dominance of ruminant faecal sources in the catchment. Furthermore, soil was ruled out as a source of quantitative microbial source tracking markers. This study demonstrates the applicability of quantitative microbial source tracking methods and highlights the prerequisite of considering hydrological catchment dynamics in source tracking study design.

Development of a novel amplified fragment length polymorphism (AFLP) typing method for enterococci isolates from cattle faeces and evaluation of the single versus pooled faecal sampling approach.

A novel and highly reproducible amplified fragment length polymorphism (AFLP) typing approach was developed for typing of Enterococcus strains from the environment. Pooled and corresponding single faecal sample isolates were analysed to test the efficiency and coverage of dominant isolates for future sampling procedures. AFLP development was based on the selection of appropriate restriction enzymes and the design of adaptors and primers which was supported by in silico optimisation of selective bases using Enterococcus spp. genome data. Three optimal combinations of selective bases at the 3' end of the designed primers (i.e., CC, GG, CG) could be determined. AFLP fragment analysis using a capillary sequencer and intralane standardisation resulted in excellent methodical stability (> or =98% similarity for GG and > or =94% similarity for CC). Furthermore, the developed typing method was evaluated on 16 type trains of the genera Enterococcus and Streptococcus and 398 faecal isolates of cow pats from five alpine pastures in a karstic catchment area. Statistical analysis revealed a discrimination capacity of DI > or =0.95 (Simpson Diversity Index) and a reproducibility level of > or =94% similarity indicating the methods high typing capacity and robustness. Results of the comparative analysis of single and pooled faecal samples indicate that for a "strain to strain" based faecal source tracking, pooled faecal samples rather than single faecal samples are likely to be the most efficient sampling strategy for collecting the abundant corresponding strains.