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Performance of human fecal anaerobe-associated PCR-based assays in a multi-laboratory method evaluation study

Water Research

By:
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DOI: 10.1016/j.watres.2013.05.060

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Abstract

A number of PCR-based methods for detecting human fecal material in environmental waters have been developed over the past decade, but these methods have rarely received independent comparative testing in large multi-laboratory studies. Here, we evaluated ten of these methods (BacH, BacHum-UCD, Bacteroides thetaiotaomicron (BtH), BsteriF1, gyrB, HF183 endpoint, HF183 SYBR, HF183 Taqman®, HumM2, and Methanobrevibacter smithii nifH (Mnif)) using 64 blind samples prepared in one laboratory. The blind samples contained either one or two fecal sources from human, wastewater or non-human sources. The assay results were assessed for presence/absence of the human markers and also quantitatively while varying the following: 1) classification of samples that were detected but not quantifiable (DNQ) as positive or negative; 2) reference fecal sample concentration unit of measure (such as culturable indicator bacteria, wet mass, total DNA, etc); and 3) human fecal source type (stool, sewage or septage). Assay performance using presence/absence metrics was found to depend on the classification of DNQ samples. The assays that performed best quantitatively varied based on the fecal concentration unit of measure and laboratory protocol. All methods were consistently more sensitive to human stools compared to sewage or septage in both the presence/absence and quantitative analysis. Overall, HF183 Taqman® was found to be the most effective marker of human fecal contamination in this California-based study.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Performance of human fecal anaerobe-associated PCR-based assays in a multi-laboratory method evaluation study
Series title:
Water Research
DOI:
10.1016/j.watres.2013.05.060
Volume
47
Issue:
18
Year Published:
2013
Language:
English
Publisher:
ScienceDirect
Contributing office(s):
Great Lakes Science Center
Description:
12 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
6897
Last page:
6908