Evidence map›Paper›PMID 35478887›Full record

ReviewRSC advances2021

Microbial diversity in full-scale water supply systems through sequencing technology: a review.

Wei Zhou, Weiying Li, Jiping Chen, Yu Zhou, Zhongqing Wei, Longcong Gong

Abstract readReview
In one paragraph

Review in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. It's a Long Way to the Tap: Microbiome and DNA-Based Omics at the Core of Drinking Water Quality.International journal of environmental research and public health · 2022
    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

6 authors.

Wei ZhouCollege of Environmental Science and Engineering, Tongji University Shanghai 200092 China 123lwyktz@tongji.edu.cn.
Weiying LiCollege of Environmental Science and Engineering, Tongji University Shanghai 200092 China 123lwyktz@tongji.edu.cn.ORCID https://orcid.org/0000-0002-7689-0412
Jiping ChenCollege of Environmental Science and Engineering, Tongji University Shanghai 200092 China 123lwyktz@tongji.edu.cn.
Yu ZhouCollege of Environmental Science and Engineering, Tongji University Shanghai 200092 China 123lwyktz@tongji.edu.cn.
Zhongqing WeiFuzhou Water Affairs Investment Development Co., Ltd. Fuzhou 350000 Fujian China.
Longcong GongFuzhou Water Co., Ltd. Fuzhou 350000 Fujian China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of microorganisms in full-scale water supply systems raises concerns about their pathogenicity and threats to public health. Clean tap water is essential for public health safety. The conditions of the water treatment process from the source water to tap water, including source water quality, water treatment processes, the drinking water distribution system (DWDS), and building water supply systems (BWSSs) in buildings, greatly influence the bacterial community in tap water. Given the importance of drinking water biosafety, the study of microbial diversity from source water to tap water is essential. With the development of molecular biology methods and bioinformatics in recent years, sequencing technology has been applied to study bacterial communities in full-scale water supply systems. In this paper, changes in the bacterial community and the influence of each treatment stage on microbial diversity in full-scale water supply systems are classified and analyzed. Microbial traceability analysis and control are discussed, and suggestions for future drinking water biosafety research and its prospects are proposed.

Identifiers

PMID35478887
PMCPMC9037190

What OpenQuestion holds

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LicenceCC BY
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.