Evidence map›Paper›PMID 38578803›Full record

ArticlePloS one2024

Comparison of qPCR and metagenomic sequencing methods for quantifying antibiotic resistance genes in wastewater.

Gihan Daw Elbait, Mariane Daou, Miral Abuoudah, Ahmed Elmekawy, Shadi W Hasan, Dean B Everett, Habiba Alsafar, Andreas Henschel, Ahmed F Yousef

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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  15. Resistome in the indoor dust samples from workplaces and households: a pilot study.Frontiers in cellular and infection microbiology · 2024
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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

9 authors at 1 institution in 1 country.

Gihan Daw ElbaitDepartment of Biological Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Mariane DaouDepartment of Biological Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.ORCID 0000-0002-8651-965X
Miral AbuoudahDepartment of Biological Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Ahmed ElmekawyCenter for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.ORCID 0000-0002-1645-6462
Shadi W HasanCenter for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Dean B EverettDepartment of Pathology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Habiba AlsafarCenter for Biotechnology (BTC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Andreas HenschelDepartment of Electrical Engineering and Computer Science, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.ORCID 0000-0003-1386-5372
Ahmed F YousefDepartment of Biological Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.ORCID 0000-0001-5734-489X
Khalifa University of Science and Technology · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surveillance methods of circulating antibiotic resistance genes (ARGs) are of utmost importance in order to tackle what has been described as one of the greatest threats to humanity in the 21st century. In order to be effective, these methods have to be accurate, quickly deployable, and scalable. In this study, we compare metagenomic shotgun sequencing (TruSeq DNA sequencing) of wastewater samples with a state-of-the-art PCR-based method (Resistomap HT-qPCR) on four wastewater samples that were taken from hospital, industrial, urban and rural areas. ARGs that confer resistance to 11 antibiotic classes have been identified in these wastewater samples using both methods, with the most abundant observed classes of ARGs conferring resistance to aminoglycoside, multidrug-resistance (MDR), macrolide-lincosamide-streptogramin B (MLSB), tetracycline and beta-lactams. In comparing the methods, we observed a strong correlation of relative abundance of ARGs obtained by the two tested methods for the majority of antibiotic classes. Finally, we investigated the source of discrepancies in the results obtained by the two methods. This analysis revealed that false negatives were more likely to occur in qPCR due to mutated primer target sites, whereas ARGs with incomplete or low coverage were not detected by the sequencing method due to the parameters set in the bioinformatics pipeline. Indeed, despite the good correlation between the methods, each has its advantages and disadvantages which are also discussed here. By using both methods together, a more robust ARG surveillance program can be established. Overall, the work described here can aid wastewater treatment plants that plan on implementing an ARG surveillance program.

Indexed as

Anti-Bacterial AgentsWastewaterDrug Resistance, MicrobialGenes, BacterialTetracyclineAnti-Bacterial AgentsTetracyclineWastewater

Identifiers

PMID38578803
PMCPMC10997137
OpenAlexW4393976592

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.