Evidence map›Paper›PMID 30429832›Full record

ArticleFrontiers in microbiology2018

Changes in the Drinking Water Microbiome: Effects of Water Treatments Along the Flow of Two Drinking Water Treatment Plants in a Urbanized Area, Milan (Italy).

Antonia Bruno, Anna Sandionigi, Marzia Bernasconi, Antonella Panio, Massimo Labra, Maurizio Casiraghi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 63 citations in OpenAlex.

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  11. 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
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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 2 institutions in 1 country.

Antonia BrunoZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca, Milan, Italy.
Anna SandionigiZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca, Milan, Italy.
Marzia BernasconiMetropolitana Milanese S.p.A., Milan, Italy.
Antonella PanioZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca, Milan, Italy.
Massimo LabraZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca, Milan, Italy.
Maurizio CasiraghiZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca, Milan, Italy.
University of Milano-Bicocca · ITMetropolitana Milanese (Italy) · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While safe and of high quality, drinking water can host an astounding biodiversity of microorganisms, dismantling the belief of its "biological simplicity." During the very few years, we are witnessing an exponential growth in scientific publications, exploring the ecology hidden in drinking water treatment plants (DWTPs) and drinking water distribution system (DWDS). We focused on what happens to the microbial communities from source water (groundwater) throughout the main steps of the potabilization process of a DWTP, located in an urbanized area in Northern Italy. Samples were processed by a stringent water filtration to retain even the smallest environmental bacteria and then analyzed with High-Throughput DNA Sequencing (HTS) techniques. We showed that carbon filters harbored a microbial community seeding and shaping water microbiota downstream, introducing a significant variation on incoming (groundwater) microbial community. Chlorination did not instantly affect the altered microbiota. We were also able to correctly predict (through machine learning analysis) samples belonging to groundwater (overall accuracy was 0.71), but the assignation was not reliable with carbon filter samples, which were incorrectly predicted as chlorination samples. The presence and abundance of specific microorganisms allowed us to hypothesize their role as indicators. In particular, Candidatus Adlerbacteria (Parcubacteria), together with microorganisms belonging to

Indexed as

biodiversitydrinking water microbiomeenvironmental bacteriagroundwaterHTSmicrobial ecology

Identifiers

PMID30429832
PMCPMC6220058
OpenAlexW2897529595

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.