Evidence map›Paper›PMID 39901928›Full record

ArticleFrontiers in microbiology2025

Comparative microbial metagenomic analysis of drinking water plants and wastewater treatment plants in Istanbul.

Mehmet Demirci, Cankut Çubuk, Ferhat Dasdemir, Abdulkerim Suat Saribas, Esra Billur Balcıoglu, Dogukan Ozbey, Dogu Yorulmaz, Tugba Olmez Hanci, Safak Basa, Bekir Sami Kocazeybek

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Mehmet DemirciDepartment of Medical Microbiology, Faculty of Medicine, Kirklareli University, Kırklareli, Türkiye.
Cankut ÇubukCentre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London and Barts NIHR BRC & NHS Trust, Charterhouse Square, London, United Kingdom.
Ferhat DasdemirDepartment of Medical Microbiology, Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Türkiye.
Abdulkerim Suat SaribasDepartment of Medical Microbiology, Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Türkiye.
Esra Billur BalcıogluDivision of Marine Sciences and Management, Department of Chemical Oceanography, Istanbul University Institute of Marine Sciences and Management, Istanbul, Türkiye.
Dogukan OzbeyDepartment of Medical Microbiology, Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Türkiye.
Dogu YorulmazFaculty of Medicine, Medical Faculty Student, Istanbul University-Cerrahpaşa, Istanbul, Türkiye.
Tugba Olmez HanciIstanbul Water and Sewerage Administration, Istanbul, Türkiye.
Safak BasaIstanbul Water and Sewerage Administration, Istanbul, Türkiye.
Bekir Sami KocazeybekDepartment of Medical Microbiology, Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Wastewater treatment plants (WWTPs) and drinking-water treatment plants (DWTPs) are critical for public health due to the potential risks posed by microorganisms that may persist after treatment. The aim of this study was to detect the microbiome profiles of waters from both DWTPs and WWTPs under the Istanbul Water and Sewerage Administration (ISKI), identify the antimicrobial resistance profiles in all these facilities, and observe the differences in the microbiome between the inlet and outlet of different WWTPs. Methods: A total of 52 samples were examined, comprising 18 samples from DWTPs and 34 samples from WWTPs. All water samples underwent pre-isolation filtration. DNA isolation was conducted using filter material, followed by sequencing on a NovaSeq 6000 instrument. Kraken2 tools and R scripts were used for statistical analysis and data visualization. Results: The microbial metagenomic analysis identified 71 phyla, 113 classes, 217 orders, 480 families, and 1,282 genera across all samples. There were unclassified microbes (53.14% vs. 58.75%), Eukaryota (3.64% vs. 3.5%), Archaea (0.08% vs. 0.03%), bacteria (42% vs. 36.25%), and viruses (0.02% vs. 0.04%) in the raw water and ozonation unit outlet of DWTPs. The inlet and outlet of WWTPs showed unclassified microbes (52.68% vs. 59.62%), Eukaryota (0.6% vs. 1.72%), Archaea (0.26% vs. 0.15%), bacteria (46.43% vs. 38.43%), and viruses (0.05% vs. 0.04%). No statistically significant results were found in the analysis of raw waters collected from DWTPs and samples taken from the ozonation unit outlet-from the phylum level to the genus level ( Discussion: There were no significant microbial risk differentiation between biological WWTPs and advanced biological WWTPs. The data could serve as preliminary information for future research. More extensive studies are needed, with multiple sample tracking in these facilities and their feeding basins.

Indexed as

antimicrobial resistance (AMR) genedrinking watermicrobial metagenomic analysismicrobiomewastewater

Identifiers

PMID39901928
PMCPMC11788275

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.