Enterococcus phages as potential tool for identifying sewage inputs in the Great Lakes region

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Abstract

Bacteriophages are viruses living in bacteria that can be used as a tool to detect fecal contamination in surface waters around the world. However, the lack of a universal host strain makes them unsuitable for tracking fecal sources. We evaluated the suitability of two newly isolated Enterococcus host strains (ENT-49 and ENT-55) capable for identifying sewage contamination in impacted waters by targeting phages specific to these hosts. Both host strains were isolated from wastewater samples and identified as E. faecium by 16S rRNA gene sequencing. Occurrence of Enterococcus phages was evaluated in sewage samples (n= 15) from five wastewater treatment plants and in fecal samples from twenty-two species of wild and domesticated animals (individual samples; n= 22). Levels of Enterococcus phages, F + coliphages, Escherichia coli and enterococci were examined from four rivers, four beaches, and three harbors. Enterococcus phages enumeration was at similar levels (Mean = 6.72 Log PFU/100 mL) to F + coliphages in all wastewater samples, but were absent from all non-human fecal sources tested. The phages infecting Enterococcus spp. and F + coliphages were not detected in the river samples (detection threshold. < 10 PFU/100. mL), but were present in the beach and harbor samples (range = 1.83 to 2.86 Log PFU/100. mL). Slightly higher concentrations (range = 3.22 to 3.69 Log MPN/100. mL) of E. coli and enterococci when compared to F + coliphages and Enterococcus phages, were observed in the river, beach and harbor samples. Our findings suggest that the bacteriophages associated with these particular Enterococcus host strains offer potentially sensitive and human-source specific indicators of enteric pathogen risk.

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APA

Vijayavel, K., Byappanahalli, M. N., Ebdon, J., Taylor, H., Whitman, R. L., & Kashian, D. R. (2014). Enterococcus phages as potential tool for identifying sewage inputs in the Great Lakes region. Journal of Great Lakes Research, 40(4), 989–993. https://doi.org/10.1016/j.jglr.2014.09.011

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