Evidence map›Paper›PMID 39797441›Full record

ArticleEnvironmental microbiology2025

Proximity-Ligation Metagenomic Sequence Analysis Reveals That the Antibiotic Resistome Makes Significant Transitions During Municipal Wastewater Treatment.

Cassandra B McCorison, Taegyu Kim, Justin J Donato, Timothy M LaPara

Abstract read
In one paragraph

Article in Environmental microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

4 authors.

Cassandra B McCorisonDepartment of Chemistry, University of St. Thomas, St. Paul, Minnesota, USA.
Taegyu KimDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Justin J DonatoDepartment of Chemistry, University of St. Thomas, St. Paul, Minnesota, USA.
Timothy M LaParaDepartment of Civil, Environmental, and Geo-Engineering, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-5653-5309

Funding

Minnesota Environment and Natural Resources Trust Fund
6 · The paper itself

Abstract

Shotgun and proximity-ligation metagenomic sequencing were used to generate thousands of metagenome assembled genomes (MAGs) from the untreated wastewater, activated sludge bioreactors, and anaerobic digesters from two full-scale municipal wastewater treatment facilities. Analysis of the antibiotic resistance genes (ARGs) in the pool of contigs from the shotgun metagenomic sequences revealed significantly different relative abundances and types of ARGs in the untreated wastewaster compared to the activated sludge bioreactors or the anaerobic digesters (p < 0.05). In contrast, these results were statistically similar when comparing the ARGs in the pool of MAGs, suggesting that proximity-ligation metagenomic sequencing is particularly useful for pairing ARGs with their hosts but less adept at discerning quantitative differences in ARG types and relative abundances. For example, numerous MAGs of the genera Acinetobacter, Enterococcus, Klebsiella and Pseudomonas were identified in the untreated wastewater, many of which harboured plasmid-borne and/or chromosomal-borne ARGs; none of these MAGs, however, were detected in the activated sludge bioreactors or anaerobic digesters. In conclusion, this research demonstrates that the antibiotic resistome undergoes significant transitions in both the relative abundance and the host organisms during the municipal wastewater treatment process.

Indexed as

BacteriaDrug Resistance, BacterialDrug Resistance, MicrobialMetagenomeMetagenomicsWastewaterAnti-Bacterial AgentsBioreactorsSewageAnti-Bacterial AgentsSewageWastewaterbioinformaticscommunity genomicscomparative genomicsenvironmental genomicsfunctional genomicsgenomicsmetagenomicsmicrobial communitiesnew toolstechnological developments

Identifiers

PMID39797441
PMCPMC11724201

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Registered trials

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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.