Comparison of microbial source tracking efficacy for detection of cattle fecal contamination by quantitative PCR

被引:5
|
作者
Xue, Jia [1 ]
Feng, Yucheng [1 ]
机构
[1] Auburn Univ, Dept Crop Soil & Environm Sci, Auburn, AL 36849 USA
基金
美国食品与农业研究所;
关键词
CowM2; CowM3; qPCR; Fecal contamination; Microbial source tracking; Water quality; REAL-TIME PCR; BACTEROIDALES GENETIC-MARKERS; POLYMERASE-CHAIN-REACTION; POLLUTION SOURCES; FRESH-WATER; PERFORMANCE; RUMINANT; ASSAYS; DNA; PERSISTENCE;
D O I
10.1016/j.scitotenv.2019.06.091
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Identification of fecal contamination sources in surface water has become heavily dependent on quantitative PCR (qPCR) because this technique allows for the rapid enumeration of fecal indicator bacteria as well as the detection and quantification of fecal source-associated genetic markers in the environment. Identification of contamination sources in impaired waters is a prerequisite for developing best management practices to reduce future pollution. Proper management decisions rely on the quality and interpretation of qPCR data. In this study, we developed a method to determine analytical and process lower limits of detection (LLOD) and quantification (LLOQ) using two cattle-associated genetic markers targeting Bacteroidales. Analytical LLOD (A(LLOD)) for both CowM2 and CowM3 genetic markers in the qPCR assay were five gene copies per reaction. Using composite fecal DNA, the analytical LLOQ (A(LLOQ)) determined for CowM2 and CowM3 were 78 and 195 gene copies/reaction, respectively. When plasmid DNA was used, the A(LLOQ) for CowM2 and CowM3 were 46 and 20 gene copies/reaction, respectively. The process LLOD (P-LLOD) for CowM2 and CowM3 were 0.4 and 0.02 mg feces/filter (wet weight), respectively. Using the standard deviation value of 0.25 as a cut-off point for LLOQ in regression analysis, the process LLOQ (P-LLOQ) for CowM2 and CowM3 were 3.2 and 0.3 mg feces/filter, respectively. These results indicate that CowM3 exhibited superior performance characteristics compared with CowM2 for fecal samples collected from our geographical region. Moreover, the method for calculating LLOD and LLOQ developed here can be applied to other microbial source tracking studies. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:1104 / 1112
页数:9
相关论文
共 50 条
  • [21] A Novel Microbial Source Tracking Microarray for Pathogen Detection and Fecal Source Identification in Environmental Systems
    Li, Xiang
    Harwood, Valerie J.
    Nayak, Bina
    Staley, Christopher
    Sadowsky, Michael J.
    Weidhaas, Jennifer
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2015, 49 (12) : 7319 - 7329
  • [22] Novel microbial source tracking microarray for pathogen detection and fecal source identification in environmental systems
    Weidhaas, Jennifer
    Li, Xiang
    Harwood, Valerie
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2015, 250
  • [23] High-Throughput Microfluidic Quantitative PCR Platform for the Simultaneous Quantification of Pathogens, Fecal Indicator Bacteria, and Microbial Source Tracking Markers
    Hill, Elizabeth R. R.
    Chun, Chan Lan
    Hamilton, Kerry
    Ishii, Satoshi
    ACS ES&T WATER, 2023, 3 (08): : 2647 - 2658
  • [24] Comparison of PCR and quantitative real-time PCR methods for the characterization of ruminant and cattle fecal pollution sources
    Raith, Meredith R.
    Kelty, Catherine A.
    Griffith, John F.
    Schriewer, Alexander
    Wuertz, Stefan
    Mieszkin, Sophie
    Gourmelon, Michele
    Reischer, Georg H.
    Farnleitner, Andreas H.
    Ervin, Jared S.
    Holden, Patricia A.
    Ebentier, Darcy L.
    Jay, Jennifer A.
    Wang, Dan
    Boehm, Alexandria B.
    Aw, Tiong Gim
    Rose, Joan B.
    Balleste, E.
    Meijer, W. G.
    Sivaganesan, Mano
    Shanks, Orin C.
    WATER RESEARCH, 2013, 47 (18) : 6921 - 6928
  • [25] Application of fast expectation-maximization microbial source tracking to discern fecal contamination in rivers exposed to low fecal inputs
    Youfen Xu
    Ganghua Han
    Hongxun Zhang
    Zhisheng Yu
    Ruyin Liu
    Journal of Microbiology, 2022, 60 : 594 - 601
  • [26] Molecular surveillance of Cryptosporidium spp. for microbial source tracking of fecal contamination in Laguna Lake, Philippines
    dela Pena, Laurice Beatrice Raphaelle O.
    Vejano, Mark Raymond A.
    Rivera, Windell L.
    JOURNAL OF WATER AND HEALTH, 2021, 19 (03) : 534 - 544
  • [27] Use of Viability-Based Methods for Improved Detection of Recent Fecal Contamination in a Microbial Source Tracking Study Near Tijuana, Mexico
    Vanessa Thulsiraj
    Amity G. Zimmer-Faust
    Jennifer A. Jay
    Water, Air, & Soil Pollution, 2017, 228
  • [28] Use of Viability-Based Methods for Improved Detection of Recent Fecal Contamination in a Microbial Source Tracking Study Near Tijuana, Mexico
    Thulsiraj, Vanessa
    Zimmer-Faust, Amity G.
    Jay, Jennifer A.
    WATER AIR AND SOIL POLLUTION, 2017, 228 (02):
  • [29] 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
    JOURNAL OF MICROBIOLOGY, 2022, 60 (06) : 594 - 601
  • [30] Investigation of relationships between fecal contamination, cattle grazing, human recreation, and microbial source tracking markers in a mixed-land-use rangeland watershed
    Joseph, Naveen
    Lucas, Jane
    Viswanath, Nikhil
    Findlay, Reed
    Sprinkle, Jim
    Strickland, Michael S.
    Winford, Eric
    Kolok, Alan S.
    WATER RESEARCH, 2021, 194 (194)