Evidence map›Paper›PMID 28700235›Full record

ArticleEnvironmental science & technology2017

Quantitative CrAssphage PCR Assays for Human Fecal Pollution Measurement.

Elyse Stachler, Catherine Kelty, Mano Sivaganesan, Xiang Li, Kyle Bibby, Orin C Shanks

Abstract read
In one paragraph

Article in Environmental science & technology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

142 citing papers in PubMed, 1 synthesis or guideline pooled it.

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82 more citing papers are in PubMed but not listed here.

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.

Elyse Stachler
Catherine KeltyU.S. Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory , Cincinnati, Ohio 45268 United States.
Mano SivaganesanU.S. Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory , Cincinnati, Ohio 45268 United States.
Xiang LiU.S. Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory , Cincinnati, Ohio 45268 United States.
Orin C ShanksU.S. Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory , Cincinnati, Ohio 45268 United States.ORCID http://orcid.org/0000-0003-3203-0645

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Environmental waters are monitored for fecal pollution to protect public health and water resources. Traditionally, general fecal-indicator bacteria are used; however, they cannot distinguish human fecal waste from other animal pollution sources. Recently, a novel bacteriophage, crAssphage, was discovered by metagenomic data mining and reported to be abundant in and closely associated with human fecal waste. To confirm bioinformatic predictions, 384 primer sets were designed along the length of the crAssphage genome. Based on initial screening, two novel crAssphage qPCR assays (CPQ_056 and CPQ_064) were designed and evaluated in reference fecal samples and water matrices. The assays exhibited high specificities (98.6%) when tested against an animal fecal reference library, and crAssphage genetic markers were highly abundant in raw sewage and sewage-impacted water samples. In addition, CPQ_056 and CPQ_064 performance was compared to HF183/BacR287 and HumM2 assays in paired experiments. Findings confirm that viral crAssphage qPCR assays perform at a similar level to well-established bacterial human-associated fecal-source-identification approaches. These new viral-based assays could become important water quality management and research tools.

Indexed as

FecesReal-Time Polymerase Chain ReactionSewageWater PollutionAnimalsBacteriaHumansPolymerase Chain ReactionWater QualitySewage

Identifiers

PMID28700235
PMCPMC7350147

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.