AbstractUrban streams are susceptible to stormwater and sewage inputs that can impact their ecological health and water quality. Microbial communities in streams play important functional roles and their composition and metabolic potential can help assess ecological state and water quality. Although these environments are highly heterogenous, little is known about the influence of isolated perturbations, such as those resulting from rain events on urban stream microbiota. Here, we examined the microbial community composition and diversity in an urban stream during dry and wet weather conditions with both 16S rRNA gene sequencing across multiple years and shotgun metagenomics to more deeply analyze a single stormflow event. Metagenomics was used to assess population-level dynamics as well as shifts in the microbial community taxonomic profile and functional potential before and after a substantial rainfall. Results demonstrated general trends present in the stream under stormflow vs. baseflow conditions across years and seasons and also highlighted the significant influence of increased effluent flow following rain in shifting the stream microbial community from abundant freshwater taxa to those more associated with urban/anthropogenic settings. Shifts in the taxonomic composition were also linked to changes in functional gene content, particularly for transmembrane transport and organic substance biosynthesis. We also observed an increase in relative abundance of genes encoding degradation of organic pollutants and antibiotic resistance after rain. Overall, this study provided evidence of stormflow impacts on an urban stream microbiome from an environmental and public health perspective.ImportanceUrban streams in various parts of the world are facing increased anthropogenic pressure on their water quality, and stormflow events represent one such source of complex physical, chemical and biological perturbations. Microorganisms are important components of these streams from both ecological and public-health perspectives, and analyzing the effect of such perturbations on the stream microbial community can help improve current knowledge on the impact such chronic disturbances can have on these water resources. This study examines microbial community dynamics during rain-induced stormflow conditions in an urban stream of the Chicago Area Waterway System. Additionally, using shotgun metagenomics we identified significant shifts in the microbial community composition and functional gene content following a high rainfall event, with potential environment and public health implications. Previous work in this area has been limited to specific genes/organisms or has not assessed immediate stormflow impact.
Taxa-driven functional shifts associated with stormflow in an urban stream microbial community
