Evidence map›Paper›PMID 39773654›Full record

ArticleBMC research notes2025

Comparative analysis of qPCR and metagenomics for detecting antimicrobial resistance in wastewater: a case study.

William Taylor, Kristin Bohm, Kristin Dyet, Louise Weaver, Isabelle Pattis

Abstract readComparative Study
In one paragraph

Article in BMC research notes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

5 authors.

William TaylorInstitute of Environmental Science and Research Ltd, Christchurch, New Zealand.
Kristin BohmInstitute of Environmental Science and Research Ltd, Kenepuru, Wellington, New Zealand.
Kristin DyetInstitute of Environmental Science and Research Ltd, Kenepuru, Wellington, New Zealand.
Louise WeaverInstitute of Environmental Science and Research Ltd, Christchurch, New Zealand.
Isabelle PattisInstitute of Environmental Science and Research Ltd, Christchurch, New Zealand. Isabelle.Pattis@esr.cri.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe World Health Organization (WHO) has declared antimicrobial resistance (AMR) as one of the top threats to global public health. While AMR surveillance of human clinical isolates is well-established in many countries, the increasing threat of AMR has intensified efforts to detect antibiotic resistance genes (ARGs) accurately and sensitively in environmental samples, wastewater, animals, and food. Using five ARGs and the 16S rRNA gene, we compared quantitative PCR (qPCR) and metagenomic sequencing (MGS), two commonly used methods to uncover the wastewater resistome. We compared both methods by evaluating ARG detection through a municipal wastewater treatment chain.

resultsOur results demonstrate that qPCR was more sensitive than MGS, particularly in diluted samples with low ARG concentrations such as oxidation pond water. However, MGS was potentially more specific and has less risk of off-target binding in concentrated samples such as raw sewage. MGS analysis revealed multiple subtypes of each gene which could not be distinguished by qPCR; these subtypes varied across different sample types. Our findings affect the conclusions that can be drawn when comparing different sample types, particularly in terms of inferring removal rates or origins of genes. We conclude that both methods appear suitable to profile the resistome of wastewater and other environmental samples, depending on the research question and type of sample.

Indexed as

MetagenomicsReal-Time Polymerase Chain ReactionRNA, Ribosomal, 16SWastewaterBacteriaDrug Resistance, BacterialDrug Resistance, MicrobialGenes, BacterialHumansSewageRNA, Ribosomal, 16SSewageWastewaterAMRAntimicrobial resistanceMetagenomicsQPCRWastewaterWastewater-based epidemiology.Wastewater surveillance

Identifiers

PMID39773654
PMCPMC11705827

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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.