Evidence map›Paper›PMID 34673462›Full record

ArticleWater research2021

Dynamics of integron structures across a wastewater network - Implications to resistance gene transfer.

Marcos Quintela-Baluja, Dominic Frigon, M Abouelnaga, Kelly Jobling, Jesús L Romalde, Mariano Gomez Lopez, David W Graham

Open access · hybridAbstract read
In one paragraph

Article in Water research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
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  4. Review
  5. 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

7 authors at 4 institutions in 4 countries.

Marcos Quintela-BalujaSchool of Engineering, Cassie Building, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; Department of Analytical Chemistry, Nutrition and Bromatology, University of Santiago de Compostela, Spain. Electronic address: marcosquintelab@gmail.com.
Dominic FrigonDepartment of Civil Engineering and Applied Mechanics, McGill University, Montréal (QC), Canada.
M AbouelnagaDepartment of Analytical Chemistry, School of Veterinary Sciences, Suez Canel University, Ismailia, Egypt.
Kelly JoblingSchool of Engineering, Cassie Building, Newcastle University, Newcastle upon Tyne NE1 7RU, UK.
Jesús L RomaldeDepartamento de Microbiología y Parasitología, CIBUS-Facultad de Biología & Institute CRETUS, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Mariano Gomez LopezLabaqua, Santiago de Compostela, Spain.
David W GrahamSchool of Engineering, Cassie Building, Newcastle University, Newcastle upon Tyne NE1 7RU, UK. Electronic address: david.graham@newcastle.ac.uk.
Newcastle University · GBUniversidade de Santiago de Compostela · ESMcGill University · CASuez Canal University · EG

Funding

Medical Research Council MR/P028195/1
6 · The paper itself

Abstract

Class 1 and other integrons are common in wastewater networks, often being associated with antibiotic resistance genes (ARGs). However, the importance of different integron structures in ARG transfer within wastewater systems has only been implied, especially between community and hospital sources, among wastewater treatment plant compartments, and in receiving waters. This uncertainty is partly because current clinical class 1 integron qPCR assays (i.e., that target human-impacted structures, i.e., clintI1) poorly delineate clintI1 from non-impacted class 1 integron structures. They also say nothing about their ARG content. To fill these technical gaps, new real-time qPCR assays were developed for "impacted" class 1 structures (called aint1; i.e., anthropogenic class 1 integrons) and empty aint1 structures (i.e., carry no ARGs; called eaint1). The new assays and other integron assays then were used to examine integron dynamics across a wastewater network. 16S metagenomic sequencing also was performed to characterise associated microbiomes. aint1 abundances per bacterial cell were about 10 times greater in hospital wastewaters compared with other compartments, suggesting aint1 enrichment with ARGs in hospital sources. Conversely, the relative abundance of eaint1 structures were over double in recycled activated sludge compared with other compartments, except receiving waters (RAS; ∼30% of RAS class 1 structures did not carry ARGs). Microbiome analysis showed that human-associated bacterial taxa with mobile integrons also differed in RAS and river sediments. Further, class 1 integrons in RAS bacteria appear to have released ARGs, whereas hospital bacteria have accumulated ARGs. Results show that quantifying integron dynamics can help explain where ARG transfer occurs in wastewater networks, and should be considered in future studies on antibiotic resistance in the environment.

Indexed as

IntegronsWastewaterAnti-Bacterial AgentsDrug Resistance, MicrobialGenes, BacterialHumansAnti-Bacterial AgentsWastewaterAntibiotic resistance genesClass 1 integronsEmpty integron structuresIntegron dynamicsqPCR probesWastewater networks

Identifiers

PMID34673462
PMCPMC8626773
OpenAlexW3202500903

What OpenQuestion holds

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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.