Evidence map›Paper›PMID 30283052›Full record

ArticleScientific reports2018

Monitoring of microbial dynamics in a drinking water distribution system using the culture-free, user-friendly, MYcrobiota platform.

Stefan A Boers, Emmanuelle I Prest, Maja Taučer-Kapteijn, Aleksandra Knezev, Peter G Schaap, John P Hays, Ruud Jansen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. 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
1.3field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Molecular Diagnostic Tools Applied for Assessing Microbial Water Quality.International journal of environmental research and public health · 2022
    Review
  2. Article
  3. Understanding and overcoming the pitfalls and biases of next-generation sequencing (NGS) methods for use in the routine clinical microbiological diagnostic laboratory.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Review
  4. Article
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

7 authors at 3 institutions in 1 country.

Stefan A BoersDepartment of Medical Microbiology and Infectious Diseases, Erasmus University Medical Centre Rotterdam (Erasmus MC), Rotterdam, The Netherlands.
Emmanuelle I PrestPWNT, Andijk, The Netherlands.
Maja Taučer-KapteijnHet Waterlaboratorium, Haarlem, The Netherlands.
Aleksandra KnezevHet Waterlaboratorium, Haarlem, The Netherlands.
Peter G SchaapWater Supply Company Noord-Holland PWN, Velserbroek, The Netherlands.
John P HaysDepartment of Medical Microbiology and Infectious Diseases, Erasmus University Medical Centre Rotterdam (Erasmus MC), Rotterdam, The Netherlands.
Ruud JansenDepartment of Molecular Biology, Regional Laboratory of Public Health Kennemerland, Haarlem, The Netherlands. r.jansen@streeklabhaarlem.nl.
Erasmus MC · NLStichting Artsenlaboratorium en Trombosedienst · NLSpaarne Gasthuis · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drinking water utilities currently rely on a range of microbiological detection techniques to evaluate the quality of their drinking water (DW). However, microbiota profiling using culture-free 16S rRNA gene next-generation sequencing (NGS) provides an opportunity for improved monitoring of the microbial ecology and quality of DW. Here, we evaluated the utility of a previously validated microbiota profiling platform (MYcrobiota) to investigate the microbial dynamics of a full-scale, non-chlorinated DW distribution system (DWDS). In contrast to conventional methods, we observed spatial and temporal bacterial genus changes (expressed as operational taxonomic units - OTUs) within the DWDS. Further, a small subset of bacterial OTUs dominated with abundances that shifted across the length of the DWDS, and were particularly affected by a post-disinfection step. We also found seasonal variation in OTUs within the DWDS and that many OTUs could not be identified, even though MYcrobiota is specifically designed to reduce potential PCR sequencing artefacts. This suggests that our current knowledge about the microbial ecology of DW communities is limited. Our findings demonstrate that the user-friendly MYcrobiota platform facilitates culture-free, standardized microbial dynamics monitoring and has the capacity to facilitate the introduction of microbiota profiling into the management of drinking water quality.

Indexed as

BacteriaDisinfectionDNA, BacterialDrinking WaterHigh-Throughput Nucleotide SequencingHumansMicrobiological TechniquesMicrobiotaRNA, Ribosomal, 16SWater PurificationWater QualityDNA, BacterialDrinking WaterRNA, Ribosomal, 16S

Identifiers

PMID30283052
PMCPMC6170421
OpenAlexW2892714998

What OpenQuestion holds

Textmetadata
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.