• Title of article

    Identification of pets and raccoons as sources of bacterial contamination of urban storm sewers using a sequence-based bacterial source tracking method

  • Author/Authors

    Jeffrey L. Ram، نويسنده , , Brooke Thompson، نويسنده , , Carrie Turner، نويسنده , , Jordan M.Nechvatal، نويسنده , , Harry Sheehan، نويسنده , , Janis Bobrin، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2007
  • Pages
    10
  • From page
    3605
  • To page
    3614
  • Abstract
    In urbanized areas, contaminated storm sewers can feed high bacterial levels into free-flowing streams and rivers. Although illicit connections sometimes cause contamination, urban wildlife and free-roaming domesticated or feral pets may be another source. After eliminating illicit connections as sources of high levels of Escherichia coli in two storm sewers tributary to the Huron River in southeast Michigan, the roles of urban wildlife, pets, humans, and birds were investigated using a sequence-based bacterial source tracking technology. After enumeration, E. coli were isolated from water samples collected during spring to fall, 2005. Sequences in the gene beta-glucuronidase of each isolate were compared to sequences of reference strains from humans, raccoons, pets (cats and dogs), and birds. The highest percentage source for six of ten events was pets (ANOVA, p=0.005). Among isolates attributed to pets, strains from cats occurred more frequently on seven of nine events in which pets had a non-zero probability. High raccoon percentages (up to 60%) occurred in late summer and fall, and varied significantly more than in the spring (F-test), possibly reflecting urban raccoon den-site mobility. The sequence-based bacterial source tracking method suggests that feces from pets and raccoons are important contributors to urban storm sewers.
  • Keywords
    StormwaterCatsBeta-glucuronidaseMicrobial source trackingEscherichia coli
  • Journal title
    Water Research
  • Serial Year
    2007
  • Journal title
    Water Research
  • Record number

    764564