Literature DB >> 25326295

Distribution of human-specific bacteroidales and fecal indicator bacteria in an urban watershed impacted by sewage pollution, determined using RNA- and DNA-based quantitative PCR assays.

Vikram Kapoor1, Tarja Pitkänen2, Hodon Ryu3, Michael Elk3, David Wendell4, Jorge W Santo Domingo5.   

Abstract

The identification of fecal pollution sources is commonly carried out using DNA-based methods. However, there is evidence that DNA can be associated with dead cells or present as "naked DNA" in the environment. Furthermore, it has been shown that rRNA-targeted reverse transcription-quantitative PCR (RT-qPCR) assays can be more sensitive than rRNA gene-based qPCR assays since metabolically active cells usually contain higher numbers of ribosomes than quiescent cells. To this end, we compared the detection frequency of host-specific markers and fecal bacteria using RNA-based RT-qPCR and DNA-based qPCR methods for water samples collected in sites impacted by combined sewer overflows. As a group, fecal bacteria were more frequently detected in most sites using RNA-based methods. Specifically, 8, 87, and 85% of the samples positive for general enterococci, Enterococcus faecalis, and Enterococcus faecium markers, respectively, were detected using RT-qPCR, but not with the qPCR assay counterpart. On average, two human-specific Bacteroidales markers were not detected when using DNA in 12% of the samples, while they were positive for all samples when using RNA (cDNA) as the template. Moreover, signal intensity was up to three orders of magnitude higher in RT-qPCR assays than in qPCR assays. The human-specific Bacteroidales markers exhibited moderate correlation with conventional fecal indicators using RT-qPCR results, suggesting the persistence of nonhuman sources of fecal pollution or the presence of false-positive signals. In general, the results from this study suggest that RNA-based assays can increase the detection sensitivity of fecal bacteria in urban watersheds impacted with human fecal sources.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2014        PMID: 25326295      PMCID: PMC4272702          DOI: 10.1128/AEM.02446-14

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  46 in total

1.  How quantitative is quantitative PCR with respect to cell counts?

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Journal:  Syst Appl Microbiol       Date:  2000-12       Impact factor: 4.022

2.  Rapid method for coextraction of DNA and RNA from natural environments for analysis of ribosomal DNA- and rRNA-based microbial community composition.

Authors:  R I Griffiths; A S Whiteley; A G O'Donnell; M J Bailey
Journal:  Appl Environ Microbiol       Date:  2000-12       Impact factor: 4.792

3.  Quantitative analysis of small-subunit rRNA genes in mixed microbial populations via 5'-nuclease assays.

Authors:  M T Suzuki; L T Taylor; E F DeLong
Journal:  Appl Environ Microbiol       Date:  2000-11       Impact factor: 4.792

Review 4.  Microbial source tracking: current methodology and future directions.

Authors:  Troy M Scott; Joan B Rose; Tracie M Jenkins; Samuel R Farrah; Jerzy Lukasik
Journal:  Appl Environ Microbiol       Date:  2002-12       Impact factor: 4.792

5.  Detection of fecal bacteria and source tracking identifiers in environmental waters using rRNA-based RT-qPCR and rDNA-based qPCR assays.

Authors:  Tarja Pitkänen; Hodon Ryu; Michael Elk; Anna-Maria Hokajärvi; Sallamaari Siponen; Asko Vepsäläinen; Pia Räsänen; Jorge W Santo Domingo
Journal:  Environ Sci Technol       Date:  2013-11-14       Impact factor: 9.028

6.  16S rRNA gene sequence analysis of drinking water using RNA and DNA extracts as targets for clone library development.

Authors:  Randy P Revetta; Robin S Matlib; Jorge W Santo Domingo
Journal:  Curr Microbiol       Date:  2011-05-01       Impact factor: 2.188

7.  Comparison of quantitative PCR assays for Escherichia coli targeting ribosomal RNA and single copy genes.

Authors:  E C Chern; S Siefring; J Paar; M Doolittle; R A Haugland
Journal:  Lett Appl Microbiol       Date:  2011-01-19       Impact factor: 2.858

8.  Laboratory investigation of an E. coli O157:H7 outbreak associated with swimming in Battle Ground Lake, Vancouver, Washington.

Authors:  Mansour Samadpour; Jeff Stewart; Karen Steingart; Carl Addy; John Louderback; Marty McGinn; Joe Ellington; Tom Newman
Journal:  J Environ Health       Date:  2002-06       Impact factor: 1.179

9.  Combined use of 16S ribosomal DNA and 16S rRNA to study the bacterial community of polychlorinated biphenyl-polluted soil.

Authors:  B Nogales; E R Moore; E Llobet-Brossa; R Rossello-Mora; R Amann; K N Timmis
Journal:  Appl Environ Microbiol       Date:  2001-04       Impact factor: 4.792

Review 10.  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

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2.  Analysis of human mitochondrial DNA sequences from fecally polluted environmental waters as a tool to study population diversity.

Authors:  Vikram Kapoor; Michael Elk; Carlos Toledo-Hernandez; Jorge W Santo Domingo
Journal:  AIMS Environ Sci       Date:  2017

3.  Evaluating putative ecological drivers of microcystin spatiotemporal dynamics using metabarcoding and environmental data.

Authors:  A Banerji; M J Bagley; J A Shoemaker; D R Tettenhorst; C T Nietch; H J Allen; J W Santo Domingo
Journal:  Harmful Algae       Date:  2019-05-31       Impact factor: 4.273

4.  Multiscale investigation of a symbiotic microalgal-integrated fixed film activated sludge (MAIFAS) process for nutrient removal and photo-oxygenation.

Authors:  Jared Church; Hodon Ryu; A H M Anwar Sadmani; Andrew Amis Randall; Jorge Santo Domingo; Woo Hyoung Lee
Journal:  Bioresour Technol       Date:  2018-07-26       Impact factor: 9.642

5.  Urbanization Impacts the Physicochemical Characteristics and Abundance of Fecal Markers and Bacterial Pathogens in Surface Water.

Authors:  Tianma Yuan; Kiran Kumar Vadde; Jonathan D Tonkin; Jianjun Wang; Jing Lu; Zimeng Zhang; Yixin Zhang; Alan J McCarthy; Raju Sekar
Journal:  Int J Environ Res Public Health       Date:  2019-05-16       Impact factor: 3.390

6.  Reaching a Large Urban Undergraduate Population through Microbial Ecology Course-Based Research Experiences.

Authors:  Samantha Parks; Jessica Lee Joyner; Matthew Nusnbaum
Journal:  J Microbiol Biol Educ       Date:  2020-04-10

7.  The Use of Ribosomal RNA as a Microbial Source Tracking Target Highlights the Assay Host-Specificity Requirement in Water Quality Assessments.

Authors:  Annastiina Rytkönen; Ananda Tiwari; Anna-Maria Hokajärvi; Sari Uusheimo; Asko Vepsäläinen; Tiina Tulonen; Tarja Pitkänen
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8.  Highlighting the promise of qPCR-based environmental monitoring: response of the ribosomal RNA:DNA ratio of calanoid copepods to toxic cyanobacteria.

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9.  Naphthoquinone glycosides for bioelectroanalytical enumeration of the faecal indicator Escherichia coli.

Authors:  Jamie Hinks; Evelina J Y Han; Victor B Wang; Thomas W Seviour; Enrico Marsili; Joachim S C Loo; Stefan Wuertz
Journal:  Microb Biotechnol       Date:  2016-07-01       Impact factor: 5.813

10.  Tools for interpretation of wastewater SARS-CoV-2 temporal and spatial trends demonstrated with data collected in the San Francisco Bay Area.

Authors:  Hannah D Greenwald; Lauren C Kennedy; Adrian Hinkle; Oscar N Whitney; Vinson B Fan; Alexander Crits-Christoph; Sasha Harris-Lovett; Avi I Flamholz; Basem Al-Shayeb; Lauren D Liao; Matt Beyers; Daniel Brown; Alicia R Chakrabarti; Jason Dow; Dan Frost; Mark Koekemoer; Chris Lynch; Payal Sarkar; Eileen White; Rose Kantor; Kara L Nelson
Journal:  Water Res X       Date:  2021-07-31
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