Evidence map›Paper›PMID 40389811›Full record

ArticleBMC genomics2025

Biases from Oxford Nanopore library preparation kits and their effects on microbiome and genome analysis.

Ziming Chen, Chian Teng Ong, Loan To Nguyen, Harrison J Lamb, O González-Recio, M Gutiérrez-Rivas, Sarah J Meale, Elizabeth M Ross

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Applicability of Nanopore-only whole-genome sequencing forJournal of clinical microbiology · 2026
    Article
  5. Article
  6. How to Unmask an Unknown: The Restriction-Modification SystemInternational journal of molecular sciences · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. 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

8 authors.

Ziming ChenQueensland Alliance for Agriculture and Food Innovation, University of Queensland, St. Lucia, QLD, 4072, Australia.
Chian Teng OngQueensland Alliance for Agriculture and Food Innovation, University of Queensland, St. Lucia, QLD, 4072, Australia.
Loan To NguyenQueensland Alliance for Agriculture and Food Innovation, University of Queensland, St. Lucia, QLD, 4072, Australia.
Harrison J LambQueensland Alliance for Agriculture and Food Innovation, University of Queensland, St. Lucia, QLD, 4072, Australia.
O González-RecioDepartamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, INIA-CSIC, Madrid, 28040, Spain.
M Gutiérrez-RivasDepartamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, INIA-CSIC, Madrid, 28040, Spain.
Sarah J MealeSchool of Agriculture and Food Sustainability, University of Queensland, Gatton, QLD, 4343, Australia.
Elizabeth M RossQueensland Alliance for Agriculture and Food Innovation, University of Queensland, St. Lucia, QLD, 4072, Australia. e.ross@uq.edu.au.

Funding

Meat and Livestock Australia P.PSH.2010
6 · The paper itself

Abstract

backgroundOxford Nanopore sequencing is a long-read sequencing technology that does not rely on a polymerase to generate sequence data. Sequencing library preparation methods used in Oxford Nanopore sequencing rely on the addition of a motor protein bound to an adapter sequence, which is added either using ligation-based methods (ligation sequencing kit), or transposase-based methods (rapid sequencing kit). However, these methods have enzymatic steps that may be susceptible to motif bias, including the underrepresentation of adenine-thymine (AT) sequences due to ligation and biases from transposases. This study aimed to compare the recognition motif and relative interaction frequencies of these library preparation methods and assess their effects on relative sequencing coverage, microbiome, and methylation profiles. The impacts of DNA extraction kits and basecalling models on microbiome analysis were also investigated.

resultsBy using sequencing data generated by the ligation and rapid library kits, we identified the recognition motif (5'-TATGA-3') consistent with MuA transposase in the rapid kit and low frequencies of AT in the sequence terminus of the ligation kit. The rapid kit showed reduced yield in regions with 40-70% guanine-cytosine (GC) contents, while the ligation kit showed relatively even coverage distribution in areas with various GC contents. Due to longer reads, ligation kits showed increased taxonomic classification efficiency compared to the rapid protocols. Rumen microbial profile at different taxonomic levels and mock community profile showed significant variation due to the library preparation method used. The ligation kit outperformed the rapid kit in subsequent bacterial DNA methylation statistics, although there were no significant differences.

conclusionsOur findings indicated that careful and consistent library preparation method selection is essential for quantitative methods such as bovine-related microbiome analysis due to the systematic bias induced by the enzymatic reactions in Oxford Nanopore library preparation.

Indexed as

Gene LibraryMicrobiotaNanopore SequencingAnimalsCattleDNA MethylationHigh-Throughput Nucleotide SequencingSequence Analysis, DNADNA extractionGC biasLibrary preparationMicrobiomeOxford Nanopore sequencing

Identifiers

PMID40389811
PMCPMC12090612

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.