Literature DB >> 17397471

A quantitative real-time PCR assay for the highly sensitive and specific detection of human faecal influence in spring water from a large alpine catchment area.

G H Reischer1, D C Kasper, R Steinborn, A H Farnleitner, R L Mach.   

Abstract

AIMS: The aim of the study was the development of a sensitive human-specific quantitative real-time PCR assay for microbial faecal source tracking (MST) in alpine spring water. The assay detects human-specific faecal DNA markers (BacH) from 16S rRNA gene sequences from the phylum Bacteroidetes using TaqMan minor groove binder probes. METHODS AND
RESULTS: The qualitative and quantitative detection limits of the PCR assay were 6 and 30 marker copies, respectively. Specificity was proved by testing 41 human faeces and waste water samples and excluding cross-amplification from 302 animal faecal samples from Eastern Austria. Marker concentrations in human faecal material were in the range from 6.6 x 10(9) to 9.1 x 10(10) marker equivalents per gram. The method was sensitive enough to detect a few 100 pg of faeces in faecal suspensions. The assay was applied on water samples from an alpine karstic spring catchment area and the results reflected the expected levels of human faecal influence.
CONCLUSIONS: The method exhibited sufficient sensitivity to allow quantitative source tracking of human faecal impact in the investigated karstic spring water. SIGNIFICANCE AND IMPACT OF THE STUDY: The developed method constitutes the first quantitative human-specific MST tool sensitive enough for investigations in ground and spring water.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17397471      PMCID: PMC3068607          DOI: 10.1111/j.1472-765X.2006.02094.x

Source DB:  PubMed          Journal:  Lett Appl Microbiol        ISSN: 0266-8254            Impact factor:   2.858


  12 in total

1.  Identification of nonpoint sources of fecal pollution in coastal waters by using host-specific 16S ribosomal DNA genetic markers from fecal anaerobes.

Authors:  A E Bernhard; K G Field
Journal:  Appl Environ Microbiol       Date:  2000-04       Impact factor: 4.792

2.  A PCR assay To discriminate human and ruminant feces on the basis of host differences in Bacteroides-Prevotella genes encoding 16S rRNA.

Authors:  A E Bernhard; K G Field
Journal:  Appl Environ Microbiol       Date:  2000-10       Impact factor: 4.792

3.  Development of Bacteroides 16S rRNA gene TaqMan-based real-time PCR assays for estimation of total, human, and bovine fecal pollution in water.

Authors:  Alice Layton; Larry McKay; Dan Williams; Victoria Garrett; Randall Gentry; Gary Sayler
Journal:  Appl Environ Microbiol       Date:  2006-06       Impact factor: 4.792

4.  Direct analysis of genes encoding 16S rRNA from complex communities reveals many novel molecular species within the human gut.

Authors:  A Suau; R Bonnet; M Sutren; J J Godon; G R Gibson; M D Collins; J Doré
Journal:  Appl Environ Microbiol       Date:  1999-11       Impact factor: 4.792

5.  Detection and quantification of the human-specific HF183 Bacteroides 16S rRNA genetic marker with real-time PCR for assessment of human faecal pollution in freshwater.

Authors:  Sylvie Seurinck; Tom Defoirdt; Willy Verstraete; Steven D Siciliano
Journal:  Environ Microbiol       Date:  2005-02       Impact factor: 5.491

6.  Host distributions of uncultivated fecal Bacteroidales bacteria reveal genetic markers for fecal source identification.

Authors:  Linda K Dick; Anne E Bernhard; Timothy J Brodeur; Jorge W Santo Domingo; Joyce M Simpson; Sarah P Walters; Katharine G Field
Journal:  Appl Environ Microbiol       Date:  2005-06       Impact factor: 4.792

7.  An assessment of Bacteroides fragilis group organisms as indicators of human faecal pollution.

Authors:  K Allsop; D J Stickler
Journal:  J Appl Bacteriol       Date:  1985-01

Review 8.  Microbial source tracking: state of the science.

Authors:  Joyce M Simpson; Jorge W Santo Domingo; Donald J Reasoner
Journal:  Environ Sci Technol       Date:  2002-12-15       Impact factor: 9.028

9.  Survival and detection of Bacteroides spp., prospective indicator bacteria.

Authors:  L Fiksdal; J S Maki; S J LaCroix; J T Staley
Journal:  Appl Environ Microbiol       Date:  1985-01       Impact factor: 4.792

10.  Bacterial dynamics in spring water of alpine karst aquifers indicates the presence of stable autochthonous microbial endokarst communities.

Authors:  Andreas H Farnleitner; Ines Wilhartitz; Gabriela Ryzinska; Alexander K T Kirschner; Hermann Stadler; Martina M Burtscher; Romana Hornek; Ulrich Szewzyk; Gerhard Herndl; Robert L Mach
Journal:  Environ Microbiol       Date:  2005-08       Impact factor: 5.491

View more
  34 in total

1.  Blautia and Prevotella sequences distinguish human and animal fecal pollution in Brazil surface waters.

Authors:  Amber M Koskey; Jenny C Fisher; A Murat Eren; Rafael Ponce-Terashima; Mitermayer G Reis; Ronald E Blanton; Sandra L McLellan
Journal:  Environ Microbiol Rep       Date:  2014-07-09       Impact factor: 3.541

2.  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

3.  Microbial community analysis and identification of alternative host-specific fecal indicators in fecal and river water samples using pyrosequencing.

Authors:  Ju-Yong Jeong; Hee-Deung Park; Kyong-Hee Lee; Hang-Yeon Weon; Jong-Ok Ka
Journal:  J Microbiol       Date:  2011-09-02       Impact factor: 3.422

4.  Relative decay of Bacteroidales microbial source tracking markers and cultivated Escherichia coli in freshwater microcosms.

Authors:  Linda K Dick; Erin A Stelzer; Erin E Bertke; Denise L Fong; Donald M Stoeckel
Journal:  Appl Environ Microbiol       Date:  2010-03-26       Impact factor: 4.792

5.  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

6.  Portable platform for rapid in-field identification of human fecal pollution in water.

Authors:  Yu Sherry Jiang; Timothy E Riedel; Jessica A Popoola; Barrett R Morrow; Sheng Cai; Andrew D Ellington; Sanchita Bhadra
Journal:  Water Res       Date:  2017-12-13       Impact factor: 11.236

7.  Molecular indicators used in the development of predictive models for microbial source tracking.

Authors:  Elisenda Ballesté; Xavier Bonjoch; Lluís A Belanche; Anicet R Blanch
Journal:  Appl Environ Microbiol       Date:  2010-01-29       Impact factor: 4.792

8.  Host Specificity and Sensitivity of Established and Novel Sewage-Associated Marker Genes in Human and Nonhuman Fecal Samples.

Authors:  Warish Ahmed; Pradip Gyawali; Shuchen Feng; Sandra L McLellan
Journal:  Appl Environ Microbiol       Date:  2019-07-01       Impact factor: 4.792

9.  Distributions of Fecal Markers in Wastewater from Different Climatic Zones for Human Fecal Pollution Tracking in Australian Surface Waters.

Authors:  W Ahmed; J P S Sidhu; K Smith; D J Beale; P Gyawali; S Toze
Journal:  Appl Environ Microbiol       Date:  2015-12-18       Impact factor: 4.792

10.  Viral and Bacterial Fecal Indicators in Untreated Wastewater across the Contiguous United States Exhibit Geospatial Trends.

Authors:  Asja Korajkic; Brian McMinn; Michael P Herrmann; Mano Sivaganesan; Catherine A Kelty; Pat Clinton; Maliha S Nash; Orin C Shanks
Journal:  Appl Environ Microbiol       Date:  2020-04-01       Impact factor: 4.792

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.