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

**Authors:** Dorottya Nagy, Valentina Pennetta, Gillian Rodger, Katie Hopkins, Christopher R. Jones, Alan McNally, Susan Hopkins, Derrick Crook, Ann Sarah Walker, Julie Robotham, Katie L. Hopkins, Alice Ledda, David Williams, Russell Hope, Colin S. Brown, Nicole Stoesser, Samuel Lipworth

PMC · DOI: 10.1099/mgen.0.001631 · Microbial Genomics · 2026-02-27

## TL;DR

This study shows that using only long-read sequencing from Oxford Nanopore can produce accurate and complete bacterial genome assemblies for Enterobacterales, matching hybrid methods.

## Contribution

The study demonstrates that nanopore long-read-only assemblies can rival hybrid methods in accuracy and completeness for clinical Enterobacterales genomes.

## Key findings

- Autocycler+Medaka (un-subsampled long-reads) achieved the highest accuracy in genome assembly.
- Long-read-only assemblies were comparable to hybrid assemblies in terms of SNVs and indels.
- Plasmid reconstruction was consistent across most assemblers except Flye.

## 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/Q score 100 (IQR: 64–100)], with only 4/92 genome sequences having >10 SNVs/indels. Medaka polishing with un-subsampled long-reads resulted in small improvements in indels, but not SNVs for both Flye and Autocycler assemblies. Seven-locus multi-locus sequence type, antimicrobial resistance, virulence and stress gene annotation was equivalent across assembler/polisher combinations. Nanopore long-read-only bacterial genome assembly with Autocycler combined with Medaka polishing (using un-subsampled reads) is similarly accurate and possibly more complete than hybrid assemblies, representing a viable alternative for incorporating high-quality genomic data, including plasmids, into Enterobacterales surveillance.

## Linked entities

- **Species:** Enterobacterales (taxon 91347)

## Full-text entities

- **Genes:** CPE [NCBI Gene 101160712]
- **Diseases:** AMR (MESH:D060467), BSI (MESH:D018805), Healthcare Associated Infections (MESH:D003428), PE (MESH:D003643), MGEs (MESH:D014086)
- **Chemicals:** carbon (MESH:D002244), 6mA (-), glycerol (MESH:D005990)
- **Species:** Enterobacterales (order) [taxon 91347], Klebsiella pneumoniae (species) [taxon 573], Escherichia coli (E. coli, species) [taxon 562], Serratia marcescens (species) [taxon 615], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12948150/full.md

## References

63 references — full list in the complete paper: https://tomesphere.com/paper/PMC12948150/full.md

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Source: https://tomesphere.com/paper/PMC12948150