Performance characteristics of qPCR assays targeting human- and ruminant-associated bacteroidetes for microbial source tracking across sixteen countries on six continents.

Numerous quantitative PCR assays for microbial fecal source tracking (MST) have been developed and evaluated in recent years. Widespread application has been hindered by a lack of knowledge regarding the geographical stability and hence applicability of such methods beyond the regional level. This study assessed the performance of five previously reported quantitative PCR assays targeting human-, cattle-, or ruminant-associated Bacteroidetes populations on 280 human and animal fecal samples from 16 countries across six continents. The tested cattle-associated markers were shown to be ruminant-associated. The quantitative distributions of marker concentrations in target and nontarget samples proved to be essential for the assessment of assay performance and were used to establish a new metric for quantitative source-specificity. In general, this study demonstrates that stable target populations required for marker-based MST occur around the globe. Ruminant-associated marker concentrations were strongly correlated with total intestinal Bacteroidetes populations and with each other, indicating that the detected ruminant-associated populations seem to be part of the intestinal core microbiome of ruminants worldwide. Consequently tested ruminant-targeted assays appear to be suitable quantitative MST tools beyond the regional level while the targeted human-associated populations seem to be less prevalent and stable, suggesting potential for improvements in human-targeted methods.

Ecological effect of a small dam on the macroinvertebrate assemblage and water quality of Koga River, Northwest Ethiopia.

There has been an increasing effort to construct dams across rivers to control the flow of the streams and secure water storage, and river damming has become one of the most prominent human impacts on the freshwater ecosystem. Nonetheless, the effect of river damming on the river ecosystem is only partially understood in Ethiopia. This study is aimed to assess the ecological effect of small dams on macroinvertebrate assemblages and the water quality of the Koga River ecosystem. A total of 15 sites; five from upstream, five from the dam, and five from downstream of the Koga River was sampled for macroinvertebrates and water quality parameters. The sampling was done from September to November 2016. A total of 40 families of macroinvertebrates were recorded, among which Coenagrionidae, Belostomatidae, Naucoridae, and Physidae were the most abundant. The biodiversity of macroinvertebrates was significantly higher in the downstream location of Koga Dam, where there was an attenuated sediment load to the river. Among the functional feeding groups, the percentage of filterer-collectors was higher in the upstream locations, whereas scraper families were higher in the downstream locations of the dam. Vegetation cover, turbidity, and pH were identified as the most important water quality factors delineating the pattern of macroinvertebrate community structure in the river system. Turbidity and orthophosphate concentrations were higher in the upstream sampling locations. The average sediment layer thickness was higher on the upstream side of the dam. The results suggest that sediment adversely affects the macroinvertebrate assemblage. Higher concentrations of sediment and phosphate were noted in the upstream location of the dam. The water quality (turbidity and nutrient concentrations) of the stream was affected by River Damming by influencing the sediment and nutrient dynamics of the river. Therefore, planning and implementation of an integrated watershed and dam management system are suggested to prolong the useful lifespan of the dam and sustain its ecological integrity.

Performance of faecal indicator bacteria, microbial source tracking, and pollution risk mapping in tropical water.

Faecal indicator bacteria (FIB) are used for the assessment of faecal pollution and possible water quality deterioration. There is growing evidence that FIB used in temperate regions are not adequate and reliable to detect faecal pollution in tropical regions. Hence, this study evaluated the adequacy of FIB, including total coliforms (TC), Escherichia coli (EC), Enterococci (IEC), and Clostridium perfringens (CP) in the high-altitude, tropical country of Ethiopia. In addition to FIB, for microbial source tracking (MST), a ruminant-associated molecular marker was applied at different water types and altitudes, and faecal pollution risk mapping was conducted based on consensus FIB. The performances of the indicators were evaluated at 22 sites from different water types. The results indicate that EC cell enumeration and CP spore determination perform well for faecal contamination monitoring. Most of the sub-basins of Lake Tana were found to be moderately to highly polluted, and the levels of pollution were demonstrated to be higher in the rainy season than in the post-rainy season. Markers associated with ruminants (BacR) were identified in more than three quarters of the sites. A bacterial pollution risk map was developed for sub-basins of Lake Tana, including the un-gauged sub-basins. We demonstrate how bacterial pollution risk mapping can aid in improvements to water quality testing and reduce risk to the general population from stream bacteria.

Assessing seasonal nitrogen export to large tropical lakes.

Rivers are exporting increasing amounts of nitrogen (N) to lakes, which is leading to eutrophication. However, the seasonality apparent in nutrient loading, especially in tropical areas, is thus far only partially understood. This study aims to better understand the seasonality and the sources of dissolved inorganic nitrogen (DIN) inputs from sub-basins to tropical lakes. We integrated existing approaches into a seasonal model that accounts for seasonality in human activities, meteorology and hydrology, and we applied the model to the sub-basins of a representative tropical lake: Lake Tana, Ethiopia. The model quantifies the river export of DIN by season, source and sub-basin and also accounts for open defecation to land as a diffuse source of N in rivers. Seasonality parameters were calibrated, and model outputs were validated against measured nitrogen loads in the main river outlets. The calibrated model showed good agreement with the measured nitrogen loads at the outflow of the main rivers. The model distinguishes four seasons: rainy (July-September), post-rainy (October-December), dry (January-March) and pre-rainy (April-June). The river export of DIN to Lake Tana was about 9 kton in 2017 and showed spatial and temporal variability: It was highest in the rainy and lowest in the dry seasons. Diffuse sources from agriculture were important contributors of DIN to rivers in 2017, and animal manure was the dominant source in all seasons. Our seasonal sub-basins and rivers model provides opportunities to identify the main nutrient sources to the lake and to formulate effective water quality management options. An example is nutrient application level that correspond to the crop needs in the sub-basins. Furthermore, our model can be used to analyse future trends and serves as an example for other large tropical lakes experiencing eutrophication.