Literature DB >> 23880218

Performance of forty-one microbial source tracking methods: a twenty-seven lab evaluation study.

Alexandria B Boehm1, Laurie C Van De Werfhorst, John F Griffith, Patricia A Holden, Jenny A Jay, Orin C Shanks, Dan Wang, Stephen B Weisberg.   

Abstract

The last decade has seen development of numerous new microbial source tracking (MST) methodologies, but many of these have been tested in just a few laboratories with a limited number of fecal samples. This method evaluation study examined the specificity and sensitivity of 41 MST methodologies by analyzing data generated in 27 laboratories. MST methodologies that targeted human, cow, ruminant, dog, gull, pig, horse, and sheep were tested against sewage, septage, human, cow, dog, deer, pig, chicken, pigeon, gull, horse, and goose fecal samples. Each laboratory received 64 blind samples containing a single source (singletons) or two sources (doubletons), as well as diluted singleton samples to assess method sensitivity. Laboratories utilized their own protocols when performing the methods and data were deposited in a central database before samples were unblinded. Between one and seven laboratories tested each method. The most sensitive and specific assays, based on an analysis of presence/absence of each marker in target and non-target fecal samples, were HF183 endpoint and HF183SYBR (human), CF193 and Rum2Bac (ruminant), CowM2 and CowM3 (cow), BacCan (dog), Gull2SYBR and LeeSeaGull (gull), PF163 and pigmtDNA (pig), HoF597 (horse), PhyloChip (pig, horse, chicken, deer), Universal 16S TRFLP (deer), and Bacteroidales 16S TRFLP (pig, horse, chicken, deer); all had sensitivity and specificity higher than 80% in all or the majority of laboratories. When the abundance of MST markers in target and non-target fecal samples was examined, some assays that performed well in the binary analysis were found to not be sensitive enough as median concentrations fell below a minimum abundance criterion (set at 50 copies per colony forming units of enterococci) in target fecal samples. Similarly, some assays that cross-reacted with non-target fecal sources in the binary analysis were found to perform well in a quantitative analysis because the cross-reaction occurred at very low levels. Based on a quantitative analysis, the best performing methods were HF183Taqman and BacH (human), Rum2Bac and BacR (ruminant), LeeSeaGull (gull), and Pig2Bac (pig); no cow or dog-specific assay met the quantitative specificity and sensitivity criteria. Some of the best performing assays in the study were run by just one laboratory so further testing of assay portability is needed. While this study evaluated the marker performance in defined samples, further field testing as well as development of frameworks for fecal source allocation and risk assessment are needed.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bacteroidales; Enterococci; Fecal pollution; Microbial source tracking

Mesh:

Substances:

Year:  2013        PMID: 23880218     DOI: 10.1016/j.watres.2012.12.046

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  55 in total

1.  Occurrence of Host-Associated Fecal Markers on Child Hands, Household Soil, and Drinking Water in Rural Bangladeshi Households.

Authors:  Alexandria B Boehm; Dan Wang; Ayse Ercumen; Meghan Shea; Angela R Harris; Orin C Shanks; Catherine Kelty; Alvee Ahmed; Zahid Hayat Mahmud; Benjamin F Arnold; Claire Chase; Craig Kullmann; John M Colford; Stephen P Luby; Amy J Pickering
Journal:  Environ Sci Technol Lett       Date:  2016-11-08

2.  Elucidating Waterborne Pathogen Presence and Aiding Source Apportionment in an Impaired Stream.

Authors:  Jennifer Weidhaas; Angela Anderson; Rubayat Jamal
Journal:  Appl Environ Microbiol       Date:  2018-03-01       Impact factor: 4.792

3.  Microbial Source Tracking in Adjacent Karst Springs.

Authors:  Shoshanit Ohad; Dalit Vaizel-Ohayon; Meir Rom; Joseph Guttman; Diego Berger; Valeria Kravitz; Shlomo Pilo; Zohar Huberman; Yechezkel Kashi; Efrat Rorman
Journal:  Appl Environ Microbiol       Date:  2015-05-22       Impact factor: 4.792

4.  Quantitative CrAssphage PCR Assays for Human Fecal Pollution Measurement.

Authors:  Elyse Stachler; Catherine Kelty; Mano Sivaganesan; Xiang Li; Kyle Bibby; Orin C Shanks
Journal:  Environ Sci Technol       Date:  2017-07-25       Impact factor: 9.028

5.  Temporal stability of the microbial community in sewage-polluted seawater exposed to natural sunlight cycles and marine microbiota.

Authors:  Lauren M Sassoubre; Kevan M Yamahara; Alexandria B Boehm
Journal:  Appl Environ Microbiol       Date:  2015-01-09       Impact factor: 4.792

Review 6.  Microbial source tracking using metagenomics and other new technologies.

Authors:  Shahbaz Raza; Jungman Kim; Michael J Sadowsky; Tatsuya Unno
Journal:  J Microbiol       Date:  2021-02-10       Impact factor: 3.422

7.  Differential decomposition of bacterial and viral fecal indicators in common human pollution types.

Authors:  Pauline Wanjugi; Mano Sivaganesan; Asja Korajkic; Catherine A Kelty; Brian McMinn; Robert Ulrich; Valerie J Harwood; Orin C Shanks
Journal:  Water Res       Date:  2016-09-21       Impact factor: 11.236

8.  Data Acceptance Criteria for Standardized Human-Associated Fecal Source Identification Quantitative Real-Time PCR Methods.

Authors:  Orin C Shanks; Catherine A Kelty; Robin Oshiro; Richard A Haugland; Tania Madi; Lauren Brooks; Katharine G Field; Mano Sivaganesan
Journal:  Appl Environ Microbiol       Date:  2016-04-18       Impact factor: 4.792

9.  Performance and specificity of the covalently linked immunomagnetic separation-ATP method for rapid detection and enumeration of enterococci in coastal environments.

Authors:  Amity G Zimmer-Faust; Vanessa Thulsiraj; Donna Ferguson; Jennifer A Jay
Journal:  Appl Environ Microbiol       Date:  2014-02-21       Impact factor: 4.792

10.  Distribution and Differential Survival of Traditional and Alternative Indicators of Fecal Pollution at Freshwater Beaches.

Authors:  Danielle D Cloutier; Sandra L McLellan
Journal:  Appl Environ Microbiol       Date:  2017-02-01       Impact factor: 4.792

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