Improving the Identification of Fecal Contamination in Recreational Water through the Standardization and Normalization of Microbial Source Tracking

被引:4
作者
Jamison, Megan N. [1 ]
Hart, John J. [1 ,2 ]
Szlag, David C. [1 ]
机构
[1] Oakland Univ, Dept Chem, Rochester, MI 48309 USA
[2] Grand Valley State Univ, Annis Water Resources Inst, 1 Campus Dr, Allendale, MI 49401 USA
来源
ACS ES&T WATER | 2022年 / 2卷 / 12期
关键词
ddPCR; microbial source tracking; recreational water quality monitoring; standardization; normalization; fecal contamination; risk assessment; REAL-TIME PCR; ASSAYS; QUANTIFICATION; POLLUTION;
D O I
10.1021/acsestwater.2c00185
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Recreational water quality monitoring (RWQM) is essential for reducing the risk of exposure to waterborne pathogens from fecal contamination. Human fecal contamination poses the most significant risk due to the host-specific nature of many pathogens. Traditional RWQM cannot differentiate between human and nonhuman fecal contamination, limiting its application. Microbial source tracking (MST) is a method introduced to improve RWQM by characterizing fecal contamination by source. This method relies on the detection of host-specific DNA targets. While this method has been beneficial, it still has limitations. When more than one target is detected, it is not possible to determine the primary source of fecal contamination. In this study, a nonhost specific target was used to normalize MST results, and standard curves were created to relate gene copies of the target to the equivalent dry weight of feces. The dry weight of feces can then be compared to determine the primary source of contamination. These standards were applied to MST results from five beaches in Macomb County, MI.
引用
收藏
页码:2305 / 2311
页数:7
相关论文
共 24 条
  • [21] Microbial Source Tracking Using Quantitative and Digital PCR To Identify Sources of Fecal Contamination in Stormwater, River Water, and Beach Water in a Great Lakes Area of Concern
    Staley, Zachery R.
    Boyd, Rachel J.
    Shum, Phoenix
    Edge, Thomas A.
    [J]. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2018, 84 (20)
  • [22] Persistence of host-associated Bacteroidales gene markers and their quantitative detection in an urban and agricultural mixed prairie watershed
    Tambalo, Dinah D.
    Fremaux, Bastien
    Boa, Tyler
    Yost, Christopher K.
    [J]. WATER RESEARCH, 2012, 46 (09) : 2891 - 2904
  • [23] Estimating true human and animal host source contribution in quantitative microbial source tracking using the Monte Carlo method
    Wang, Dan
    Silkie, Sarah S.
    Nelson, Kara L.
    Wuertz, Stefan
    [J]. WATER RESEARCH, 2010, 44 (16) : 4760 - 4775
  • [24] Application of fast expectation-maximization microbial source tracking to discern fecal contamination in rivers exposed to low fecal inputs
    Xu, Youfen
    Han, Ganghua
    Zhang, Hongxun
    Yu, Zhisheng
    Liu, Ruyin
    [J]. JOURNAL OF MICROBIOLOGY, 2022, 60 (06) : 594 - 601