Evidence map›Paper›PMID 35033203›Full record

ArticleEnvironmental microbiome2022

Metagenomic community composition and resistome analysis in a full-scale cold climate wastewater treatment plant.

Paul Jankowski, Jaydon Gan, Tri Le, Michaela McKennitt, Audrey Garcia, Kadir Yanaç, Qiuyan Yuan, Miguel Uyaguari-Diaz

Open access · goldAbstract read
In one paragraph

Article in Environmental microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 50 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Paul JankowskiDepartment of Microbiology, University of Manitoba, 45 Chancellors Circle, Buller Building, Winnipeg, MB, R3T 2N2, Canada.
Jaydon GanDepartment of Microbiology, University of Manitoba, 45 Chancellors Circle, Buller Building, Winnipeg, MB, R3T 2N2, Canada.
Tri LeDepartment of Microbiology, University of Manitoba, 45 Chancellors Circle, Buller Building, Winnipeg, MB, R3T 2N2, Canada.
Michaela McKennittClayton H. Riddell Faculty of Environment, Earth, and Resources, University of Manitoba, Winnipeg, MB, Canada.
Audrey GarciaDepartment of Microbiology, University of Manitoba, 45 Chancellors Circle, Buller Building, Winnipeg, MB, R3T 2N2, Canada.
Kadir YanaçDepartment of Civil Engineering, University of Manitoba, Winnipeg, MB, Canada.
Qiuyan YuanDepartment of Civil Engineering, University of Manitoba, Winnipeg, MB, Canada.
Miguel Uyaguari-DiazDepartment of Microbiology, University of Manitoba, 45 Chancellors Circle, Buller Building, Winnipeg, MB, R3T 2N2, Canada. Miguel.Uyaguari@umanitoba.ca.ORCID http://orcid.org/0000-0003-2719-5111
University of Manitoba · CAUniversity of Ottawa · CA

Funding

Research Grants Program, University of Manitoba 322930Research Start-up Funds, University of Manitoba 322388The Faculty of Science Collaborative grant, University of Manitoba 322788
6 · The paper itself

Abstract

backgroundWastewater treatment plants are an essential part of maintaining the health and safety of the general public. However, they are also an anthropogenic source of antibiotic resistance genes. In this study, we characterized the resistome, the distribution of classes 1-3 integron-integrase genes (intI1, intI2, and intI3) as mobile genetic element biomarkers, and the bacterial and phage community compositions in the North End Sewage Treatment Plant in Winnipeg, Manitoba. Samples were collected from raw sewage, returned activated sludge, final effluent, and dewatered sludge. A total of 28 bacterial and viral metagenomes were sequenced over two seasons, fall and winter. Integron-integrase genes, the 16S rRNA gene, and the coliform beta-glucuronidase gene were also quantified during this time period.

resultsBacterial classes observed above 1% relative abundance in all treatments were Actinobacteria (39.24% ± 0.25%), Beta-proteobacteria (23.99% ± 0.16%), Gamma-proteobacteria (11.06% ± 0.09%), and Alpha-proteobacteria (9.18 ± 0.04%). Families within the Caudovirales order: Siphoviridae (48.69% ± 0.10%), Podoviridae (23.99% ± 0.07%), and Myoviridae (19.94% ± 0.09%) were the dominant phage observed throughout the NESTP. The most abundant bacterial genera (in terms of average percent relative abundance) in influent, returned activated sludge, final effluent, and sludge, respectively, includes Mycobacterium (37.4%, 18.3%, 46.1%, and 7.7%), Acidovorax (8.9%, 10.8%, 5.4%, and 1.3%), and Polaromonas (2.5%, 3.3%, 1.4%, and 0.4%). The most abundant class of antibiotic resistance in bacterial samples was tetracycline resistance (17.86% ± 0.03%) followed by peptide antibiotics (14.24% ± 0.03%), and macrolides (10.63% ± 0.02%). Similarly, the phage samples contained a higher prevalence of macrolide (30.12% ± 0.30%), peptide antibiotic (10.78% ± 0.13%), and tetracycline (8.69% ± 0.11%) resistance. In addition, intI1 was the most abundant integron-integrase gene throughout treatment (1.14 × 10

conclusionsWastewater treatment successfully reduced the abundance of bacteria, DNA phage and antibiotic resistance genes although many antibiotic resistance genes remained in effluent and biosolids. The presence of integron-integrase genes throughout treatment and in effluent suggests that antibiotic resistance genes could be actively disseminating resistance between both environmental and pathogenic bacteria.

Indexed as

Antibiotic resistance genesBacterial communityBacteriophagesIntegrasesMetagenomicsResistomeWastewater treatment

Identifiers

PMID35033203
PMCPMC8760730
OpenAlexW4206341757

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.