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Abstract

Oxford Nanopore Technologies (ONT) enables direct methylome profiling using the Dorado basecaller, but the comparative performance of ONT-only versus hybrid-assembly reference-based methylation calling, particularly regarding inter-operator variability, remains understudied.

Six operators independently prepared 15 sequencing libraries for nanopore (MinION R10.4.1 flow cells, Mk1D) and Illumina MiniSeq platforms for two subsp. strains (UT9728, 12 replicates; UT10237, 3 replicates). Methylation and motif profiles were identified with MicrobeMod v.1.0.3 using both Illumina-corrected hybrid reference assemblies (HRAs) and ONT-only reference assemblies (ORAs). A custom genome annotation-aware pipeline mapped methylation site calls to coding sequence, rRNA and tRNA features for reproducibility analysis. We also performed site-wise analyses to quantify concordance of methylated fractions among ORA replicates and assess the influence of sequencing coverage.

Strain UT9728 predominantly exhibited N6-methyladenine (6mA) at G6mATC motifs, whereas strain UT10237 displayed dual methylation patterns: C5-methylcytosine (5mC) at 5mCCWGG motifs and 6mA at G6mAGNNNNNTAA motifs. Motif identification concordance using HRAs and ORAs exceeded 99.9%. Reproducibility across replicates was high for G6mATC and 5mCCWGG motifs in both HRAs (Pearson’s >0.989) and ORAs (Pearson’s >0.993), but lower for the degenerate G6mAGNNNNNTAA motif (Pearson’s : HRA=0.80; ORA=0.78). ORA-based methylation site calls showed excellent precision and recall compared to HRA-based calls (F1-score>99.999%). Site-wise analysis of UT9728 G6mATC motifs revealed that discordant sites (absolute methylated fraction difference ≥0.15) were rare, with 44 of 66 pairwise replicate comparisons showing <1% discordance. Discordance was linked to low coverage (<70×), whereas sites sequenced >200× displayed complete concordance.

Although limited to a single species, three motifs and a feature-based framework that does not capture promoter-proximal events, ONT-only sequence-based methylome profiling proved accurate and reproducible across multiple operators, with sequencing coverage emerging as the principal determinant of site-level concordance.

Funding
This study was supported by the:
  • Fulbright U.S. Student Program (Award NA)
    • Principal Award Recipient: HananWees
  • The Dell Scholarship (Award NA)
    • Principal Award Recipient: OmarHayat
  • the McKowen Scholarship (Award NA)
    • Principal Award Recipient: MinhLe
  • the Kinder Foundation Endowed Scholarship (Award NA)
    • Principal Award Recipient: IsabellaPolic
  • Peter and Cythia Hu Cardinal Health Scholarship (Award NA)
    • Principal Award Recipient: JungJaeone
  • Peter and Cythia Hu Cardinal Health Scholarship (Award N/A)
    • Principal Award Recipient: TaylorSchababerle
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License.
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2025-11-19
2025-12-08

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