]. Therefore, management efforts of water resources must take into account such spatio-temporal dependencies, particularly in fluctuating environments such as riverine systems. Moreover, riverine systems are recipients of diverse microbial inputs that influence their ecology. As an example, the Chicago Area Waterway System is an extensive, highly engineered urban river system that consists of over 76 miles of man-made canals and modified natural streams .
In collaboration with Chicago’s Metropolitan Water Reclamation District we conducted a 7-year investigation of the CAWS microbiome, collecting monthly samples of water and sediment across 12 sites as well as untreated sewage and treated effluent samples from two wastewater reclamation plants . We analyzed these samples with 16S rRNA amplicon sequencing and fecal coliform enumeration, and continually monitored relevant physicochemical characteristics at each site.
The primary goals of this study were to a) characterize the microbial communities of the CAWS and its spatio-temporal dynamics across 12 riverine sites and 2 wastewater treatment plants for 63 timepoints over 7 years, b) compare such characterizations to the trends found in a traditional, culture-dependent approach to measuring water quality, and c) examine the impact of water quality improvement interventions on the microbial ecology of the CAWS.
Temperature, pH, conductivity, and turbidity of water samples were measured using a handheld YSI multiparameter digital water quality meter. NO
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