title: Human and bovine viruses in the Milwaukee River watershed: hydrologically relevant representation and relations with environmental variables.
abstract: To examine the occurrence, hydrologic variability, and seasonal variability of human and bovine viruses in surface water, three stream locations were monitored in the Milwaukee River watershed in Wisconsin, USA, from February 2007 through June 2008. Monitoring sites included an urban subwatershed, a rural subwatershed, and the Milwaukee River at the mouth. To collect samples that characterize variability throughout changing hydrologic periods, a process control system was developed for unattended, large-volume (56-2800 L) filtration over extended durations. This system provided flow-weighted mean concentrations during runoff and extended (24-h) low-flow periods. Human viruses and bovine viruses were detected by real-time qPCR in 49% and 41% of samples (n=63), respectively. All human viruses analyzed were detected at least once including adenovirus (40% of samples), GI norovirus (10%), enterovirus (8%), rotavirus (6%), GII norovirus (1.6%) and hepatitis A virus (1.6%). Three of seven bovine viruses analyzed were detected including bovine polyomavirus (32%), bovine rotavirus (19%), and bovine viral diarrhea virus type 1 (5%). Human viruses were present in 63% of runoff samples resulting from precipitation and snowmelt, and 20% of low-flow samples. Maximum human virus concentrations exceeded 300 genomic copies/L. Bovine viruses were present in 46% of runoff samples resulting from precipitation and snowmelt and 14% of low-flow samples. The maximum bovine virus concentration was 11 genomic copies/L. Statistical modeling indicated that stream flow, precipitation, and season explained the variability of human viruses in the watershed, and hydrologic condition (runoff event or low-flow) and season explained the variability of the sum of human and bovine viruses; however, no model was identified that could explain the variability of bovine viruses alone. Understanding the factors that affect virus fate and transport in rivers will aid watershed management for minimizing human exposure and disease transmission.
authors.affiliation: U.S. Geological Survey, Wisconsin Water Science Center, Middleton, WI 53562, United States. Electronic address: srcorsi@usgs.gov.
authors.forename: S R
authors.initials: SR
authors.lastname: Corsi
authors.affiliation: U.S. Department of Agriculture, Agricultural Research Service, 2615 Yellowstone Dr., Marshfield, WI 54449, United States.
authors.forename: M A
authors.initials: MA
authors.lastname: Borchardt
authors.affiliation: U.S. Department of Agriculture, Agricultural Research Service, 2615 Yellowstone Dr., Marshfield, WI 54449, United States.
authors.forename: S K
authors.initials: SK
authors.lastname: Spencer
authors.affiliation: U.S. Geological Survey, Wisconsin Water Science Center, Middleton, WI 53562, United States.
authors.forename: P E
authors.initials: PE
authors.lastname: Hughes
authors.affiliation: U.S. Geological Survey, Wisconsin Water Science Center, Middleton, WI 53562, United States.
authors.forename: A K
authors.initials: AK
authors.lastname: Baldwin
mesh_terms: D000818:Animals; D002417:Cattle; D004784:Environmental Monitoring; D006801:Humans; D045483:Rivers / Q000821:virology*; D014780:Viruses / Q000145:classification / Q000254:growth & development*; D014871:Water Microbiology; D014922:Wisconsin
keywords: Automated sampling; Human viruses; Hydrologic event; Seasonality; Watershed