Evidence map›Paper›PMID 29514229›Full record

ArticleFEMS microbiology ecology2018

Host range of antibiotic resistance genes in wastewater treatment plant influent and effluent.

Jenni Hultman, Manu Tamminen, Katariina Pärnänen, Johannes Cairns, Antti Karkman, Marko Virta

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Integrating AMR surveillance into wastewater monitoring systems in 2025: a position on the implementation of Article 17 of the Urban Wastewater Treatment Directive (UWWTD).Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Bacterivorous CiliateAntibiotics (Basel, Switzerland) · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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

6 authors.

Jenni HultmanDepartment of Microbiology, University of Helsinki, Viikinkaari 9, 00014 University of Helsinki, Finland.
Manu TamminenDepartment of Biology, University of Turku, University Hill, 20014 University of Turku, Finland.
Katariina PärnänenDepartment of Microbiology, University of Helsinki, Viikinkaari 9, 00014 University of Helsinki, Finland.
Johannes CairnsDepartment of Microbiology, University of Helsinki, Viikinkaari 9, 00014 University of Helsinki, Finland.
Antti KarkmanDepartment of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10, 41346 Gothenburg, Sweden.
Marko VirtaDepartment of Microbiology, University of Helsinki, Viikinkaari 9, 00014 University of Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater treatment plants (WWTPs) collect wastewater from various sources for a multi-step treatment process. By mixing a large variety of bacteria and promoting their proximity, WWTPs constitute potential hotspots for the emergence of antibiotic resistant bacteria. Concerns have been expressed regarding the potential of WWTPs to spread antibiotic resistance genes (ARGs) from environmental reservoirs to human pathogens. We utilized epicPCR (Emulsion, Paired Isolation and Concatenation PCR) to detect the bacterial hosts of ARGs in two WWTPs. We identified the host distribution of four resistance-associated genes (tetM, int1, qacEΔ1and blaOXA-58) in influent and effluent. The bacterial hosts of these resistance genes varied between the WWTP influent and effluent, with a generally decreasing host range in the effluent. Through 16S rRNA gene sequencing, it was determined that the resistance gene carrying bacteria include both abundant and rare taxa. Our results suggest that the studied WWTPs mostly succeed in decreasing the host range of the resistance genes during the treatment process. Still, there were instances where effluent contained resistance genes in bacterial groups not carrying these genes in the influent. By permitting exhaustive profiling of resistance-associated gene hosts in WWTP bacterial communities, the application of epicPCR provides a new level of precision to our resistance gene risk estimates.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, MicrobialGenes, BacterialGene Transfer, HorizontalHost SpecificityPolymerase Chain ReactionRNA, Ribosomal, 16SWastewaterWater PurificationAnti-Bacterial AgentsRNA, Ribosomal, 16SWastewater

Identifiers

PMID29514229
PMCPMC5939699

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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.