High-performance protocol for ultra-short DNA sequencing using Oxford Nanopore Technology (ONT)

In recent years, Oxford Nanopore Technologies (ONT) has gained substantial attention across various domains of nucleic acid research, owing to its unique advantages over other sequencing platforms. Originally developed for long-read sequencing, ONT technology has evolved, with recent advancements enhancing its applicability beyond long reads to include short, synthetic DNA-based applications. However, sequencing short DNA fragments with nanopore technology often results in lower data quality, likely due to the absence of protocols optimised for these fragment sizes. To address this challenge, we refined the standard ONT library preparation protocol to improve its performance for ultra-short DNA targets. By utilising the same core reagents required for conventional ONT workflows, we introduced targeted alterations to enhance compatibility with shorter fragment lengths. We then benchmarked these adjustments against libraries prepared using the standard ONT protocol. Here, we present a comprehensive, step-by-step protocol that is accessible to researchers of various technical expertise, facilitating high-quality sequencing of ultra-short DNA fragments. This protocol represents a significant improvement in sequencing quality for short DNA sequences using ONT technology, broadening the range of possible applications.

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Publication Details

Journal
PLoS ONE
Published
2025-04-29
DOI
https://doi.org/10.1371/journal.pone.0318040
Citations
3
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
2.42

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High-performance protocol for ultra-short DNA sequencing using Oxford Nanopore Technology (ONT)

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PLoS ONE
Advanced biosensing and bioanalysis techniques
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article

High-performance protocol for ultra-short DNA sequencing using Oxford Nanopore Technology (ONT)

Micha Jost, Renaldas Raišutis, Jérôme Charmet, Rūta Palepšienė, Lukas Žemaitis, Thomas Heinis, Pierre‐Yves Burgi, Silvia Angeloni Suter, Gediminas Alzbutas, Simonas Juzėnas, Friedrich C. Simmel, Ignas Galminas
article en
3 citations

Abstract

In recent years, Oxford Nanopore Technologies (ONT) has gained substantial attention across various domains of nucleic acid research, owing to its unique advantages over other sequencing platforms. Originally developed for long-read sequencing, ONT technology has evolved, with recent advancements enhancing its applicability beyond long reads to include short, synthetic DNA-based applications. However, sequencing short DNA fragments with nanopore technology often results in lower data quality, likely due to the absence of protocols optimised for these fragment sizes. To address this challenge, we refined the standard ONT library preparation protocol to improve its performance for ultra-short DNA targets. By utilising the same core reagents required for conventional ONT workflows, we introduced targeted alterations to enhance compatibility with shorter fragment lengths. We then benchmarked these adjustments against libraries prepared using the standard ONT protocol. Here, we present a comprehensive, step-by-step protocol that is accessible to researchers of various technical expertise, facilitating high-quality sequencing of ultra-short DNA fragments. This protocol represents a significant improvement in sequencing quality for short DNA sequences using ONT technology, broadening the range of possible applications.

PLoS ONEVol. 20(4)
University of Geneva (CH), Lithuanian University of Health Sciences (LT), Kaunas University of Technology (LT), HES-SO University of Applied Sciences and Arts Western Switzerland (CH), Vytautas Magnus University (LT), Research Center Pharmaceutical Engineering (Austria) (AT), Kaunas University of Applied Engineering Sciences (LT), Isotopen Technologien München (Germany) (DE), Imperial College London (GB), University of Neuchâtel (CH)
HORIZON EUROPE European Innovation Council
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Advanced biosensing and bioanalysis techniques
2.42
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