Evidence map›Paper›PMID 40456603›Full record

ArticleGenome research2025

Accurate genotyping of three major respiratory bacterial pathogens with ONT R10.4.1 long-read sequencing.

Nora Zidane, Carla Rodrigues, Valérie Bouchez, Martin Rethoret-Pasty, Virginie Passet, Sylvain Brisse, Chiara Crestani

Abstract read
In one paragraph

Article in Genome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

7 authors.

Nora ZidaneInstitut Pasteur, Université Paris Cité, Biodiversity and Epidemiology of Bacterial Pathogens, 75015 Paris, France.
Carla RodriguesInstitut Pasteur, Université Paris Cité, Biodiversity and Epidemiology of Bacterial Pathogens, 75015 Paris, France.
Valérie BouchezInstitut Pasteur, Université Paris Cité, Biodiversity and Epidemiology of Bacterial Pathogens, 75015 Paris, France.
Martin Rethoret-PastyInstitut Pasteur, Université Paris Cité, Biodiversity and Epidemiology of Bacterial Pathogens, 75015 Paris, France.
Virginie PassetInstitut Pasteur, Université Paris Cité, Biodiversity and Epidemiology of Bacterial Pathogens, 75015 Paris, France.
Sylvain BrisseInstitut Pasteur, Université Paris Cité, Biodiversity and Epidemiology of Bacterial Pathogens, 75015 Paris, France.ORCID 0000-0002-2516-2108
Chiara CrestaniInstitut Pasteur, Université Paris Cité, Biodiversity and Epidemiology of Bacterial Pathogens, 75015 Paris, France; chiara.crestani@pasteur.fr.ORCID 0000-0002-8948-1941

Funding

Gates Foundation INV-025280
6 · The paper itself

Abstract

High-throughput massive parallel sequencing has significantly improved bacterial pathogen genomics, diagnostics, and epidemiology. Despite its high accuracy, short-read sequencing struggles with the complete genome reconstruction and assembly of extrachromosomal elements such as plasmids. Long-read sequencing with Oxford Nanopore Technologies (ONT) presents an alternative that offers benefits including real-time sequencing and cost efficiency, particularly useful in resource-limited settings. However, the historically higher error rates of ONT data have so far limited its application in high-precision genomic typing. The recent release of ONT's R10.4.1 chemistry, with significantly improved raw read accuracy (Q20+), offers a potential solution to this problem. The aim of this study is to evaluate the performance of ONT's latest chemistry for bacterial genomic typing against the gold-standard Illumina technology, focusing on three respiratory pathogens of public health importance,

Indexed as

Bordetella pertussisGenotyping TechniquesHigh-Throughput Nucleotide SequencingKlebsiella pneumoniaeGenome, BacterialGenotypeHumansSequence Analysis, DNA

Identifiers

PMID40456603
PMCPMC12315706

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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.