Evidence map›Paper›PMID 32140141›Full record

ArticleFrontiers in microbiology2020

Microbial and Viral Communities and Their Antibiotic Resistance Genes Throughout a Hospital Wastewater Treatment System.

Morgan L Petrovich, Adi Zilberman, Aviv Kaplan, Gefen R Eliraz, Yubo Wang, Kathryn Langenfeld, Melissa Duhaime, Krista Wigginton, Rachel Poretsky, Dror Avisar and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
11.7field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 121 citations in OpenAlex.

  1. Article
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  4. City or Suburb, Resistance Flows: Wastewater-BorneAntibiotics (Basel, Switzerland) · 2025
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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

11 authors at 4 institutions in 2 countries.

Morgan L PetrovichDepartment of Civil and Environmental Engineering, Northwestern University, Evanston, IL, United States.
Adi ZilbermanThe Water Research Center, School of The Environment and Earth Sciences, Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel.
Aviv KaplanThe Water Research Center, School of The Environment and Earth Sciences, Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel.
Gefen R ElirazThe Water Research Center, School of The Environment and Earth Sciences, Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel.
Yubo WangDepartment of Civil and Environmental Engineering, Northwestern University, Evanston, IL, United States.
Kathryn LangenfeldDepartment of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, United States.
Melissa DuhaimeDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, United States.
Krista WiggintonDepartment of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, United States.
Rachel PoretskyDepartment of Biological Sciences, The University of Illinois at Chicago, Chicago, IL, United States.
Dror AvisarThe Water Research Center, School of The Environment and Earth Sciences, Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel.
George F WellsDepartment of Civil and Environmental Engineering, Northwestern University, Evanston, IL, United States.
Tel Aviv University · ILNorthwestern University · USUniversity of Michigan–Ann Arbor · USUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance poses a serious threat to global public health, and antibiotic resistance determinants can enter natural aquatic systems through discharge of wastewater effluents. Hospital wastewater in particular is expected to contain high abundances of antibiotic resistance genes (ARGs) compared to municipal wastewater because it contains human enteric bacteria that may include antibiotic-resistant organisms originating from hospital patients, and can also have high concentrations of antibiotics and antimicrobials relative to municipal wastewater. Viruses also play an important role in wastewater treatment systems since they can influence the bacterial community composition through killing bacteria, facilitating transduction of genetic material between organisms, and modifying the chromosomal content of bacteria as prophages. However, little is known about the fate and connections between ARGs, viruses, and their associated bacteria in hospital wastewater systems. To address this knowledge gap, we characterized the composition and persistence of ARGs, dsDNA viruses, and bacteria from influent to effluent in a pilot-scale hospital wastewater treatment system in Israel using shotgun metagenomics. Results showed that ARGs, including genes conferring resistance to antibiotics of high clinical relevance, were detected in all sampling locations throughout the pilot-scale system, with only 16% overall depletion of ARGs per genome equivalent between influent and effluent. The most common classes of ARGs detected throughout the system conferred resistance to aminoglycoside, cephalosporin, macrolide, penam, and tetracycline antibiotics. A greater proportion of total ARGs were associated with plasmid-associated genes in effluent compared to in influent. No strong associations between viral sequences and ARGs were identified in viral metagenomes from the system, suggesting that phage may not be a significant vector for ARG transfer in this system. The majority of viruses in the pilot-scale system belonged to the families

Indexed as

antibiotic resistancehospital wastewatermetagenomicsviruswastewater treatment

Identifiers

PMID32140141
PMCPMC7042388
OpenAlexW3007426469

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.