Evidence map›Paper›PMID 25326295›Full record

ArticleApplied and environmental microbiology2015

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 Kapoor, Tarja Pitkänen, Hodon Ryu, Michael Elk, David Wendell, Jorge W Santo Domingo

Open access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Applied and environmental microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 54 citations in OpenAlex.

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  8. Two Drinking Water Outbreaks Caused by Wastewater Intrusion Including Sapovirus in Finland.International journal of environmental research and public health · 2019
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  11. Removal of fecal indicator bacteria and antibiotic resistant genes in constructed wetlands.Environmental science and pollution research international · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Vikram KapoorPegasus Technical Services, Inc., Cincinnati, Ohio, USA Department of Biomedical, Chemical, and Environmental Engineering, University of Cincinnati, Cincinnati, Ohio, USA.
Tarja PitkänenNational Institute for Health and Welfare, Water and Health Unit, Kuopio, Finland Office of Research and Development, U.S. Environmental Protection Agency, Cincinnati, Ohio, USA.
Hodon RyuPegasus Technical Services, Inc., Cincinnati, Ohio, USA.
Michael ElkPegasus Technical Services, Inc., Cincinnati, Ohio, USA.
David WendellDepartment of Biomedical, Chemical, and Environmental Engineering, University of Cincinnati, Cincinnati, Ohio, USA santodomingo.jorge@epa.gov wendeldw@uc.edu.
Jorge W Santo DomingoOffice of Research and Development, U.S. Environmental Protection Agency, Cincinnati, Ohio, USA santodomingo.jorge@epa.gov wendeldw@uc.edu.
Marion Technical College · USEnvironmental Protection Agency · USFinnish Institute for Health and Welfare · FIUniversity of Cincinnati · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Real-Time Polymerase Chain ReactionWater MicrobiologyWater PollutionBacteriological TechniquesBacteroidetesCitiesDNA, BacterialEnterococcusHumansRNA, BacterialSensitivity and SpecificityDNA, BacterialRNA, Bacterial

Identifiers

PMID25326295
PMCPMC4272702
OpenAlexW1976388596

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.