Evidence map›Paper›PMID 32271799›Full record

ArticlePloS one2020

A comparative analysis of drinking water employing metagenomics.

Kyle D Brumfield, Nur A Hasan, Menu B Leddy, Joseph A Cotruvo, Shah M Rashed, Rita R Colwell, Anwar Huq

Abstract readComparative Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. The Establishment of an Indigenous-Led Drinking Water Monitoring Program Leveraging qPCR and Metagenomics Testing in New Zealand.Water environment research : a research publication of the Water Environment Federation · 2026
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  9. Analysis of metagenomic data.Nature reviews. Methods primers · 2025
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  15. Review
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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

7 authors.

Kyle D BrumfieldMaryland Pathogen Research Institute, University of Maryland, MD, College Park, United States of America.ORCID 0000-0002-3234-3337
Nur A HasanUniversity of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, United States of America.
Menu B LeddyEssential Environmental and Engineering Systems, Huntington Beach, CA, United States of America.ORCID 0000-0001-7250-0088
Joseph A CotruvoJoseph Cotruvo and Associates LLC, Washington, DC, United States of America.
Shah M RashedMaryland Pathogen Research Institute, University of Maryland, MD, College Park, United States of America.
Rita R ColwellMaryland Pathogen Research Institute, University of Maryland, MD, College Park, United States of America.ORCID 0000-0001-5432-1502
Anwar HuqMaryland Pathogen Research Institute, University of Maryland, MD, College Park, United States of America.

Funding

Effects of climate change on prevalence and environmental niches of clinically important vibrios in the Chesapeak BayR01ES030317 · NIEHS · UNIV OF MARYLAND, COLLEGE PARK · PI HUQ, ANWAR · 2018 to 2022
$547k
NIEHS NIH HHS R01 ES030317
6 · The paper itself

Abstract

The microbiological content of drinking water traditionally is determined by employing culture-dependent methods that are unable to detect all microorganisms, especially those that are not culturable. High-throughput sequencing now makes it possible to determine the microbiome of drinking water. Thus, the natural microbiota of water and water distribution systems can now be determined more accurately and analyzed in significantly greater detail, providing comprehensive understanding of the microbial community of drinking water applicable to public health. In this study, shotgun metagenomic analysis was performed to determine the microbiological content of drinking water and to provide a preliminary assessment of tap, drinking fountain, sparkling natural mineral, and non-mineral bottled water. Predominant bacterial species detected were members of the phyla Actinobacteria and Proteobacteria, notably the genera Alishewanella, Salmonella, and Propionibacterium in non-carbonated non-mineral bottled water, Methyloversatilis and Methylibium in sparkling natural mineral water, and Mycobacterium and Afipia in tap and drinking fountain water. Fecal indicator bacteria, i.e., Escherichia coli or enterococci, were not detected in any samples examined in this study. Bacteriophages and DNA encoding a few virulence-associated factors were detected but determined to be present only at low abundance. Antibiotic resistance markers were detected only at abundance values below our threshold of confidence. DNA of opportunistic plant and animal pathogens was identified in some samples and these included bacteria (Mycobacterium spp.), protozoa (Acanthamoeba mauritaniensis and Acanthamoeba palestinensis), and fungi (Melampsora pinitorqua and Chryosporium queenslandicum). Archaeal DNA (Candidatus Nitrosoarchaeum) was detected only in sparkling natural mineral water. This preliminary study reports the complete microbiome (bacteria, viruses, fungi, and protists) of selected types of drinking water employing whole-genome high-throughput sequencing and bioinformatics. Investigation into activity and function of the organisms detected is in progress.

Indexed as

MetagenomicsBacteriaColony Count, MicrobialDNADrinking WaterGenes, BacterialMicrobiotaPrincipal Component AnalysisVirulenceDNADrinking Water

Identifiers

PMID32271799
PMCPMC7145143

What OpenQuestion holds

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LicenceCC BY
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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.