Evidence map›Paper›PMID 31684172›Full record

ArticlePathogens (Basel, Switzerland)2019

Metagenomic Analysis of Infectious F-Specific RNA Bacteriophage Strains in Wastewater Treatment and Disinfection Processes.

Suntae Lee, Mamoru Suwa, Hiroyuki Shigemura

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Suntae LeeInnovative Materials and Resources Research Center, Public Works Research Institute, Ibaraki 305-8516, Japan. seontae@pwri.go.jp.
Mamoru SuwaInnovative Materials and Resources Research Center, Public Works Research Institute, Ibaraki 305-8516, Japan. suwa@pwri.go.jp.
Hiroyuki ShigemuraInnovative Materials and Resources Research Center, Public Works Research Institute, Ibaraki 305-8516, Japan. h-shigemura@pwri.go.jp.

Funding

Japan Society for the Promotion of Science 18K13863
6 · The paper itself

Abstract

F-specific RNA bacteriophages (FRNAPHs) can be used to indicate water contamination and the fate of viruses in wastewater treatment plants (WWTPs). However, the occurrence of FRNAPH strains in WWTPs is relatively unknown, whereas FRNAPH genotypes (GI-GIV) are well documented. This study investigated the diversity of infectious FRNAPH strains in wastewater treatment and disinfection processes using cell culture combined with next-generation sequencing (integrated culture-NGS (IC-NGS)). A total of 32 infectious strains belonging to FRNAPH GI (nine strains), GI-JS (two strains), GII (nine strains), GIII (seven strains), and GIV (five strains) were detected in wastewater samples. The strains of FRNAPH GI and GII exhibited greater resistance to wastewater treatment than those of GIII. The IC-NGS results in the disinfected samples successfully reflected the infectivity of FRNAPHs by evaluating the relationship between IC-NGS results and the integrated culture-reverse-transcription polymerase chain reaction combined with the most probable number assay, which can detect infectious FRNAPH genotypes. The diversity of infectious FRNAPH strains in the disinfected samples indicates that certain strains are more resistant to chlorine (DL52, GI-JS; T72, GII) and ultraviolet (T72, GII) disinfection. It is possible that investigating these disinfectant-resistant strains could reveal effective mechanisms of viral disinfection.

Indexed as

chlorinationF-specific RNA bacteriophage straininfectivitynext-generation sequencingultraviolet disinfectionviral indicatorwastewater treatment

Identifiers

PMID31684172
PMCPMC6963950

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Registered trials

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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.