Performance evaluation of canine-associated Bacteroidales assays in a multi-laboratory comparison study

Alexander Schriewer, Kelly D. Goodwin, Christopher D. Sinigalliano, Annie M. Cox, David Wanless, Jakob Bartkowiak, Darcy L. Ebentier, Kaitlyn T. Hanley, Jared Ervin, Louise A. Deering, Orin C. Shanks, Lindsay A. Peed, Wim G. Meijer, John F. Griffith, Jorge SantoDomingo, Jennifer A. Jay, Patricia A. Holden, Stefan Wuertz*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)

Abstract

The contribution of fecal pollution from dogs in urbanized areas can be significant and is an often underestimated problem. Microbial source tracking methods (MST) utilizing quantitative PCR of dog-associated gene sequences encoding 16S rRNA of Bacteroidales are a useful tool to estimate these contributions. However, data about the performance of available assays are scarce. The results of a multi-laboratory study testing two assays for the determination of dog-associated Bacteroidales (DogBact and BacCan-UCD) on 64 single and mixed fecal source samples created from pooled fecal samples collected in California are presented here. Standardization of qPCR data treatment lowered inter-laboratory variability of sensitivity and specificity results. Both assays exhibited 100% sensitivity. Normalization methods are presented that eliminated random and confirmed non-target responses. The combination of standardized qPCR data treatment, use of normalization via a non-target specific Bacteroidales assay (GenBac3), and application of threshold criteria improved the calculated specificity significantly for both assays. Such measures would reasonably improve MST data interpretation not only for canine-associated assays, but for all qPCR assays used in identifying and monitoring fecal pollution in the environment.

Original languageEnglish
Pages (from-to)6909-6920
Number of pages12
JournalWater Research
Volume47
Issue number18
DOIs
Publication statusPublished - Nov 15 2013
Externally publishedYes

ASJC Scopus Subject Areas

  • Environmental Engineering
  • Civil and Structural Engineering
  • Ecological Modelling
  • Water Science and Technology
  • Waste Management and Disposal
  • Pollution

Keywords

  • Bacteroidales
  • Canine fecal pollution
  • Cp
  • Ct
  • DNQ
  • FIB
  • LLOQ
  • LOD
  • Microbial source tracking
  • MST
  • ND
  • PCR
  • QPCR
  • Quantitative PCR
  • ROQ
  • SIPP
  • TMDL

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