Literature DB >> 23890872

Enterococcus and Escherichia coli fecal source apportionment with microbial source tracking genetic markers--is it feasible?

Dan Wang1, Andreas H Farnleitner, Katharine G Field, Hyatt C Green, Orin C Shanks, Alexandria B Boehm.   

Abstract

Fecal pollution is measured in surface waters using culture-based measurements of enterococci and Escherichia coli bacteria. Source apportionment of these two fecal indicator bacteria is an urgent need for prioritizing remediation efforts and quantifying health risks associated with source-specific pathogens. There are a number of quantitative real-time PCR (QPCR) assays that estimate concentrations of source-associated genetic markers; however, their concentrations are not necessarily amenable to source apportionment because the markers may differ in prevalence across sources. Here we mathematically derive and test, under ideal conditions, a method that utilizes the ratios of fecal source-associated genetic markers and culture and molecular measurements of general fecal indicators to apportion enterococci and E. coli. The source contribution is approximately equal to the ratio of the source-associated and the general fecal indicator concentrations in a water sample divided by their ratio in the source material, so long as cross-reactivity is negligible. We illustrate the utility of the ratio method using samples consisting of mixtures of various fecal pollution sources. The results from the ratio method correlated well with the actual source apportionment in artificial samples. However, aging of contamination can confound source allocation predictions. In particular, culturable enterococci and E. coli, the organisms presently regulated in the United States and much of the world, decay at different rates compared to source-associated markers and as a result cannot be apportioned using this method. However, limited data suggest a similar decay rate between source-associated and QPCR-measured Enterococcus and E. coli genetic markers, indicating that apportionment may be possible for these organisms; however further work is needed to confirm.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Fecal pollution; Microbial source tracking; Water quality

Mesh:

Substances:

Year:  2013        PMID: 23890872     DOI: 10.1016/j.watres.2013.02.058

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


  7 in total

1.  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

2.  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

3.  Sources and persistence of fecal indicator bacteria and Bacteroidales in sand as measured by culture-based and culture-independent methods: A case study at Santa Monica Pier, California.

Authors:  Kathryn B Mika; Karina A Chavarria; Greg Imamura; Chay Tang; Robert Torres; Jennifer A Jay
Journal:  Water Air Soil Pollut       Date:  2017-03-06       Impact factor: 2.520

4.  A controlled, before-and-after trial of an urban sanitation intervention to reduce enteric infections in children: research protocol for the Maputo Sanitation (MapSan) study, Mozambique.

Authors:  Joe Brown; Oliver Cumming; Jamie Bartram; Sandy Cairncross; Jeroen Ensink; David Holcomb; Jackie Knee; Peter Kolsky; Kaida Liang; Song Liang; Rassul Nala; Guy Norman; Richard Rheingans; Jill Stewart; Olimpio Zavale; Valentina Zuin; Wolf-Peter Schmidt
Journal:  BMJ Open       Date:  2015-06-18       Impact factor: 2.692

5.  Online flow cytometry reveals microbial dynamics influenced by concurrent natural and operational events in groundwater used for drinking water treatment.

Authors:  Michael D Besmer; Jannis Epting; Rebecca M Page; Jürg A Sigrist; Peter Huggenberger; Frederik Hammes
Journal:  Sci Rep       Date:  2016-12-07       Impact factor: 4.379

6.  Global Distribution of Human-Associated Fecal Genetic Markers in Reference Samples from Six Continents.

Authors:  René E Mayer; Georg H Reischer; Simone K Ixenmaier; Julia Derx; Alfred Paul Blaschke; James E Ebdon; Rita Linke; Lukas Egle; Warish Ahmed; Anicet R Blanch; Denis Byamukama; Marion Savill; Douglas Mushi; Héctor A Cristóbal; Thomas A Edge; Margit A Schade; Asli Aslan; Yolanda M Brooks; Regina Sommer; Yoshifumi Masago; Maria I Sato; Huw D Taylor; Joan B Rose; Stefan Wuertz; Orin C Shanks; Harald Piringer; Robert L Mach; Domenico Savio; Matthias Zessner; Andreas H Farnleitner
Journal:  Environ Sci Technol       Date:  2018-04-16       Impact factor: 9.028

7.  Extended persistence of general and cattle-associated fecal indicators in marine and freshwater environment.

Authors:  Asja Korajkic; Brian R McMinn; Nicholas J Ashbolt; Mano Sivaganesan; Valerie J Harwood; Orin C Shanks
Journal:  Sci Total Environ       Date:  2018-09-09       Impact factor: 7.963

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.