Evidence map›Paper›PMID 32197656›Full record

ArticleMicrobiome2020

Disinfection exhibits systematic impacts on the drinking water microbiome.

Zihan Dai, Maria C Sevillano-Rivera, Szymon T Calus, Q Melina Bautista-de Los Santos, A Murat Eren, Paul W J J van der Wielen, Umer Z Ijaz, Ameet J Pinto

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 98 citations in OpenAlex.

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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

8 authors at 5 institutions in 3 countries.

Zihan DaiInfrastructure and Environment Research Division, School of Engineering, University of Glasgow, G12 8LT, Glasgow, UK.
Maria C Sevillano-RiveraDepartment of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA.
Szymon T CalusInfrastructure and Environment Research Division, School of Engineering, University of Glasgow, G12 8LT, Glasgow, UK.
Q Melina Bautista-de Los SantosDepartment of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, USA.
A Murat ErenDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Paul W J J van der WielenKWR Watercycle Research Institute, Nieuwegein, Netherlands.
Umer Z IjazInfrastructure and Environment Research Division, School of Engineering, University of Glasgow, G12 8LT, Glasgow, UK.
Ameet J PintoDepartment of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA. a.pinto@northeastern.edu.
University of Glasgow · GBNortheastern University · USKWR Water Research Institute · NLMarine Biological Laboratory · USUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limiting microbial growth during drinking water distribution is achieved either by maintaining a disinfectant residual or through nutrient limitation without using a disinfectant. The impact of these contrasting approaches on the drinking water microbiome is not systematically understood. We use genome-resolved metagenomics to compare the structure, metabolic traits, and population genomes of drinking water microbiome samples from bulk drinking water across multiple full-scale disinfected and non-disinfected drinking water systems. Microbial communities cluster at the structural- and functional potential-level based on the presence/absence of a disinfectant residual. Disinfectant residual alone explained 17 and 6.5% of the variance in structure and functional potential of the drinking water microbiome, respectively, despite including multiple drinking water systems with variable source waters and source water communities and treatment strategies. The drinking water microbiome is structurally and functionally less diverse and variable across disinfected compared to non-disinfected systems. While bacteria were the most abundant domain, archaea and eukaryota were more abundant in non-disinfected and disinfected systems, respectively. Community-level differences in functional potential were driven by enrichment of genes associated with carbon and nitrogen fixation in non-disinfected systems and γ-aminobutyrate metabolism in disinfected systems likely associated with the recycling of amino acids. Genome-level analyses for a subset of phylogenetically-related microorganisms suggests that disinfection selects for microorganisms capable of using fatty acids, presumably from microbial decay products, via the glyoxylate cycle. Overall, we find that disinfection exhibits systematic selective pressures on the drinking water microbiome and may select for microorganisms able to utilize microbial decay products originating from disinfection-inactivated microorganisms. Video abstract.

Indexed as

DisinfectionMicrobiotaArchaeaBacteriaDisinfectantsDrinking WaterEukaryotaMetagenomicsWater PurificationDisinfectantsDrinking WaterDisinfectionDrinking water microbiomeMetagenomicsSelection

Identifiers

PMID32197656
PMCPMC7085177
OpenAlexW3012674452

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.