Evidence map›Paper›PMID 35222329›Full record

ArticleFrontiers in microbiology2022

River Biofilms Microbiome and Resistome Responses to Wastewater Treatment Plant Effluents Containing Antibiotics.

Olha Matviichuk, Leslie Mondamert, Claude Geffroy, Margaux Gaschet, Christophe Dagot, Jérôme Labanowski

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. 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

6 authors at 4 institutions in 1 country.

Olha MatviichukInstitut de Chimie des Milieux et Matériaux de Poitiers, UMR CNRS 7285, University of Poitiers, Poitiers, France.
Leslie MondamertInstitut de Chimie des Milieux et Matériaux de Poitiers, UMR CNRS 7285, University of Poitiers, Poitiers, France.
Claude GeffroyInstitut de Chimie des Milieux et Matériaux de Poitiers, UMR CNRS 7285, University of Poitiers, Poitiers, France.
Margaux GaschetUMR INSERM 1092, Limoges, France.
Christophe DagotUMR INSERM 1092, Limoges, France.
Jérôme LabanowskiInstitut de Chimie des Milieux et Matériaux de Poitiers, UMR CNRS 7285, University of Poitiers, Poitiers, France.
Institut de Chimie des Milieux et des Matériaux de Poitiers · FRCentre National de la Recherche Scientifique · FRCNR de la Résistance aux Antibiotiques · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous exposure to low concentrations of antibiotics (sub-minimal inhibitory concentration: sub-MIC) is thought to lead to the development of antimicrobial resistance (AMR) in the environmental microbiota. However, the relationship between antibiotic exposure and resistance selection in environmental bacterial communities is still poorly understood and unproven. Therefore, we measured the concentration of twenty antibiotics, resistome quality, and analyzed the taxonomic composition of microorganisms in river biofilms collected upstream (UPS) and downstream (DWS) (at the point of discharge) from the wastewater treatment plant (WWTP) of Poitiers (France). The results of statistical analysis showed that the antibiotic content, resistome, and microbiome composition in biofilms collected UPS were statistically different from that collected DWS. According to Procrustes analysis, microbial community composition and antibiotics content may be determinants of antibiotic resistance genes (ARGs) composition in samples collected DWS. However, network analysis showed that the occurrence and concentration of antibiotics measured in biofilms did not correlate with the occurrence and abundance of antibiotic resistance genes and mobile genetic elements. In addition, network analysis suggested patterns of co-occurrence between several ARGs and three classes of bacteria/algae:

Indexed as

antibiotic resistanceantibioticsmicrobiomenetwork analysisresistomeriver biofilmwastewater treatment plant (WWTP)

Identifiers

PMID35222329
PMCPMC8863943
OpenAlexW4211010595

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.