Evidence map›Paper›PMID 35093160›Full record

ArticleMicrobiome2022

Long-read metagenomic sequencing reveals shifts in associations of antibiotic resistance genes with mobile genetic elements from sewage to activated sludge.

Dongjuan Dai, Connor Brown, Helmut Bürgmann, D G Joakim Larsson, Indumathi Nambi, Tong Zhang, Carl-Fredrik Flach, Amy Pruden, Peter J Vikesland

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
12.3field-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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 166 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Environmental Exposures and the Human Gut Resistome in Northwest Ecuador.medRxiv : the preprint server for health sciences · 2025
    Article
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

9 authors at 5 institutions in 5 countries.

Dongjuan DaiDepartment of Civil and Environmental Engineering, Virginia Polytechnic and State University, Blacksburg, VA, USA.
Connor BrownDepartment of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic and State University, Blacksburg, VA, USA.
Helmut BürgmannEawag: Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland.
D G Joakim LarssonInstitute of Biomedicine, Department of Infectious Diseases, University of Gothenburg, Gothenburg, Sweden.
Indumathi NambiDepartment of Civil Engineering, Indian Institute of Technology, Madras, India.
Tong ZhangDepartment of Civil Engineering, The University of Hong Kong, Hong Kong SAR, China.
Carl-Fredrik FlachInstitute of Biomedicine, Department of Infectious Diseases, University of Gothenburg, Gothenburg, Sweden.
Amy PrudenDepartment of Civil and Environmental Engineering, Virginia Polytechnic and State University, Blacksburg, VA, USA. apruden@vt.edu.ORCID 0000-0002-3191-6244
Peter J VikeslandDepartment of Civil and Environmental Engineering, Virginia Polytechnic and State University, Blacksburg, VA, USA. pvikes@vt.edu.
Virginia Tech · USUniversity of Gothenburg · SEIndian Institute of Technology Madras · INSwiss Federal Institute of Aquatic Science and Technology · CHUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is concern that the microbially rich activated sludge environment of wastewater treatment plants (WWTPs) may contribute to the dissemination of antibiotic resistance genes (ARGs). We applied long-read (nanopore) sequencing to profile ARGs and their neighboring genes to illuminate their fate in the activated sludge treatment by comparing their abundance, genetic locations, mobility potential, and bacterial hosts within activated sludge relative to those in influent sewage across five WWTPs from three continents.

resultsThe abundances (gene copies per Gb of reads, aka gc/Gb) of all ARGs and those carried by putative pathogens decreased 75-90% from influent sewage (192-605 gc/Gb) to activated sludge (31-62 gc/Gb) at all five WWTPs. Long reads enabled quantification of the percent abundance of ARGs with mobility potential (i.e., located on plasmids or co-located with other mobile genetic elements (MGEs)). The abundance of plasmid-associated ARGs decreased at four of five WWTPs (from 40-73 to 31-68%), and ARGs co-located with transposable, integrative, and conjugative element hallmark genes showed similar trends. Most ARG-associated elements decreased 0.35-13.52% while integrative and transposable elements displayed slight increases at two WWTPs (1.4-2.4%). While resistome and taxonomic compositions both shifted significantly, host phyla for chromosomal ARG classes remained relatively consistent, indicating vertical gene transfer via active biomass growth in activated sludge as the key pathway of chromosomal ARG dissemination.

conclusionsOverall, our results suggest that the activated sludge process acted as a barrier against the proliferation of most ARGs, while those that persisted or increased warrant further attention. Video abstract.

Indexed as

Anti-Bacterial AgentsSewageDrug Resistance, MicrobialGenes, BacterialInterspersed Repetitive SequencesWastewaterAnti-Bacterial AgentsSewageWastewaterAntibiotic resistanceLong read sequencingMobile genetic elementsPlasmidResistomeWastewaterWastewater treatment

Identifiers

PMID35093160
PMCPMC8801152
OpenAlexW4210376608

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.