Evidence map›Paper›PMID 41758556›Full record

ArticleMicrobial genomics2026

Nanopore long-read-only genome assembly of clinical Enterobacterales isolates is complete and accurate.

Dorottya Nagy, Valentina Pennetta, Gillian Rodger, Katie Hopkins, Christopher R Jones, The Neksus Consortium, Susan Hopkins, Derrick Crook, Ann Sarah Walker, Julie Robotham and 7 more

Abstract read
In one paragraph

Article in Microbial genomics, 2026. 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

17 authors.

Dorottya NagyModernising Medical Microbiology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Valentina PennettaModernising Medical Microbiology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Gillian RodgerDiagnostic Accelerator, Diagnostics and Pathogen Characterisation, UKHSA Porton Down, Salisbury, Wiltshire, UK.
Katie HopkinsModernising Medical Microbiology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Christopher R JonesAntimicrobial Resistance (AMR) and Healthcare Associated Infections (HCAI) Division, Chief Medical Advisor's Group, UKHSA, London, UK.
The Neksus Consortium
Susan HopkinsAntimicrobial Resistance (AMR) and Healthcare Associated Infections (HCAI) Division, Chief Medical Advisor's Group, UKHSA, London, UK.
Derrick CrookModernising Medical Microbiology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Ann Sarah WalkerModernising Medical Microbiology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Julie RobothamAntimicrobial Resistance (AMR) and Healthcare Associated Infections (HCAI) Division, Chief Medical Advisor's Group, UKHSA, London, UK.
Katie L HopkinsAntimicrobial Resistance (AMR) and Healthcare Associated Infections (HCAI) Division, Chief Medical Advisor's Group, UKHSA, London, UK.
Alice LeddaAntimicrobial Resistance (AMR) and Healthcare Associated Infections (HCAI) Division, Chief Medical Advisor's Group, UKHSA, London, UK.
David WilliamsAntimicrobial Resistance (AMR) and Healthcare Associated Infections (HCAI) Division, Chief Medical Advisor's Group, UKHSA, London, UK.
Russell HopeAntimicrobial Resistance (AMR) and Healthcare Associated Infections (HCAI) Division, Chief Medical Advisor's Group, UKHSA, London, UK.
Colin S BrownAntimicrobial Resistance (AMR) and Healthcare Associated Infections (HCAI) Division, Chief Medical Advisor's Group, UKHSA, London, UK.
Nicole StoesserModernising Medical Microbiology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Samuel LipworthModernising Medical Microbiology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole bacterial genome sequence reconstruction using Oxford Nanopore Technologies ('Nanopore') long-read-only sequencing may offer a lower-cost, higher-throughput alternative for pathogen surveillance to 'hybrid' assembly with recent improvements in Nanopore sequencing accuracy. We evaluated the accuracy, including plasmid reconstruction, of Nanopore long-read-only genome assemblies of Enterobacterales. We sequenced 92 genomes from clinical Enterobacterales isolates, collected in England under a national surveillance programme, with long-read Nanopore (R10.4.1, Dorado v5.0.0 super-high-accuracy basecalled) and short-read Illumina (NovaSeq) sequencing approaches. Genomes were assembled using three long-read-only (Flye, Hybracter long and Autocycler) and three hybrid assemblers (Hybracter hybrid, Unicycler normal and bold). Three polishing modalities (Medaka v2 with subsampled or un-subsampled long-reads; Polypolish+Pypolca with short-reads) were investigated. Autocycler circularised the most chromosomes [87/92 (95%)]. Plasmid sequence reconstruction was comparable among all assemblers except Flye, all recovering 90-96% of plasmids, although the 'ground truth' was uncertain. Flye performed worse than other assemblers on almost all metrics. Autocycler+Medaka (un-subsampled long-reads) was the most accurate long-read-only assembler/polisher combination, comparable to hybrid assemblies [median 0 (IQR: 0-0) single nucleotide variants (SNVs) and 0 (IQR: 0-1) insertions/deletions (indels) per genome; median quality value/

Indexed as

EnterobacteriaceaeGenome, BacterialNanopore SequencingWhole Genome SequencingHigh-Throughput Nucleotide SequencingHumansPlasmidsSequence Analysis, DNAbacterial genomicsEscherichia coligenome assemblyKlebsiella spp.long-read sequencing

Identifiers

PMID41758556
PMCPMC12948150

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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.