A Metagenomic Investigation of Spatial and Temporal Changes in Sewage Microbiomes across a University Campus

• Published in: mSystems 2022-10, Vol.7 (5), p.e0065122
• Main Authors: Fierer, Noah, Holland-Moritz, Hannah, Alexiev, Alexandra, Batther, Harpreet, Dragone, Nicholas B, Friar, Liam, Gebert, Matthew J, Gering, Sarah, Henley, Jessica B, Jech, Sierra, Kibby, Emily M, Melie, Tina, Patterson, William B, Peterson, Eric, Schutz, Kyle, Stallard-Olivera, Elías, Sterrett, John, Walsh, Corinne, Mansfeldt, Cresten
• Format: Article
• Language: English
• Subjects: Antibiotic resistance; antibiotic resistance genes; Antibiotics; Bacteria; Bacteria - genetics; bacteriophage; Biogeochemistry; College campuses; Community composition; Construction; Drug resistance; Environmental Microbiology; Epidemiology; Feces; Genes; Humans; Metagenome - genetics; Metagenomics; Microbiomes; Microbiota - genetics; Microorganisms; Nucleotide sequence; Pathogens; Public health; Research Article; Sampling; Severe acute respiratory syndrome coronavirus 2; Sewage; Sewage - microbiology; Sewer systems; Spatial variations; Taxonomy; Temporal variations; Universities; Wastewater
• ISSN: 2379-5077; 2379-5077
• DOI: 10.1128/msystems.00651-22

Wastewater microbial communities are not static and can vary significantly across time and space, but this variation and the factors driving the observed spatiotemporal variation often remain undetermined. We used a shotgun metagenomic approach to investigate changes in wastewater microbial communities across 17 locations in a sewer network, with samples collected from each location over a 3-week period. Fecal material-derived bacteria constituted a relatively small fraction of the taxa found in the collected samples, highlighting the importance of environmental sources to the sewage microbiome. The prokaryotic communities were highly variable in composition depending on the location within the sampling network, and this spatial variation was most strongly associated with location-specific differences in sewage pH. However, we also observed substantial temporal variation in the composition of the prokaryotic communities at individual locations. This temporal variation was asynchronous across sampling locations, emphasizing the importance of independently considering both spatial and temporal variation when assessing the wastewater microbiome. The spatiotemporal patterns in viral community composition closely tracked those of the prokaryotic communities, allowing us to putatively identify the bacterial hosts of some of the dominant viruses in these systems. Finally, we found that antibiotic resistance gene profiles also exhibit a high degree of spatiotemporal variability, with most of these genes unlikely to be derived from fecal bacteria. Together, these results emphasize the dynamic nature of the wastewater microbiome, the challenges associated with studying these systems, and the utility of metagenomic approaches for building a multifaceted understanding of these microbial communities and their functional attributes. Sewage systems harbor extensive microbial diversity, including microbes derived from both human and environmental sources. Studies of the sewage microbiome are useful for monitoring public health and the health of our infrastructure, but the sewage microbiome can be highly variable in ways that are often unresolved. We sequenced DNA recovered from wastewater samples collected over a 3-week period at 17 locations in a single sewer system to determine how these communities vary across time and space. Most of the wastewater bacteria, and the antibiotic resistance genes they harbor, were not derived from human feces, but human usage patterns did