Evidence map›Paper›PMID 39229966›Full record

ArticleEnvironmental science & technology2024

Metagenomic Profiling of Internationally Sourced Sewage Influents and Effluents Yields Insight into Selecting Targets for Antibiotic Resistance Monitoring.

Emily Garner, Ayella Maile-Moskowitz, Luisa F Angeles, Carl-Fredrik Flach, Diana S Aga, Indumathi Nambi, D G Joakim Larsson, Helmut Bürgmann, Tong Zhang, Peter J Vikesland and 1 more

Abstract read
In one paragraph

Article in Environmental science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

11 authors.

Emily GarnerWadsworth Department of Civil and Environmental Engineering, West Virginia University, Morgantown, West Virginia 26505, United States.ORCID 0000-0002-1579-155X
Ayella Maile-MoskowitzDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Luisa F AngelesDepartment of Chemistry, University at Buffalo, Buffalo, New York 14260, United States.ORCID 0000-0002-5326-5710
Carl-Fredrik FlachInstitute of Biomedicine, Department of Infectious Diseases, Centre for Antibiotic Resistance Research in Gothenburg (CARe), University of Gothenburg, Västra Götaland, SE-405 30 Gothenburg, Sweden.ORCID 0000-0002-4101-5095
Diana S AgaDepartment of Chemistry, University at Buffalo, Buffalo, New York 14260, United States.ORCID 0000-0001-6512-7713
Indumathi NambiDepartment of Civil Engineering, Indian Institute of Technology, Madras, Chennai 600036, India.
D G Joakim LarssonInstitute of Biomedicine, Department of Infectious Diseases, Centre for Antibiotic Resistance Research in Gothenburg (CARe), University of Gothenburg, Västra Götaland, SE-405 30 Gothenburg, Sweden.ORCID 0000-0002-5496-0328
Helmut BürgmannEawag: Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum CH-6047, Switzerland.ORCID 0000-0002-5651-5906
Tong ZhangDepartment of Civil Engineering, The University of Hong Kong, Pokfulam 999077, Hong Kong.ORCID 0000-0003-1148-4322
Peter J VikeslandDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0003-2654-5132
Amy PrudenDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0002-3191-6244

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been debated whether wastewater treatment plants (WWTPs) primarily act to attenuate or amplify antibiotic resistance genes (ARGs). However, ARGs are highly diverse with respect to their resistance mechanisms, mobilities, and taxonomic hosts and therefore their behavior in WWTPs should not be expected to be universally conserved. We applied metagenomic sequencing to wastewater influent and effluent samples from 12 international WWTPs to classify the behavior of specific ARGs entering and exiting WWTPs. In total, 1079 different ARGs originating from a variety of bacteria were detected. This included ARGs that could be mapped to assembled scaffolds corresponding to nine human pathogens. While the relative abundance (per 16S rRNA gene) of ARGs decreased during treatment at 11 of the 12 WWTPs sampled and absolute abundance (per mL) decreased at all 12 WWTPs, increases in relative abundance were observed for 40% of the ARGs detected at the 12th WWTP. Also, the relative abundance of mobile genetic elements (MGE) increased during treatment, but the fraction of ARGs known to be transmissible between species decreased, thus demonstrating that increased MGE prevalence may not be generally indicative of an increase in ARGs. A distinct conserved resistome was documented in both influent and effluent across samples, suggesting that well-functioning WWTPs generally attenuate influent antibiotic resistance loads. This work helps inform strategies for wastewater surveillance of antibiotic resistance, highlighting the utility of tracking ARGs as indicators of treatment performance and relative risk reduction.

Indexed as

Drug Resistance, MicrobialMetagenomicsSewageWastewaterBacteriaRNA, Ribosomal, 16SRNA, Ribosomal, 16SSewageWastewaterantibiotic resistancemetagenomicsmonitoringresistomewastewater treatment

Identifiers

PMID39229966
PMCPMC11411718

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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.