Cargando…

A comparison of Oxford nanopore library strategies for bacterial genomics

BACKGROUND: Oxford nanopore Technologies (ONT) provides three main library preparation strategies to sequence bacterial genomes. These include tagmentation (TAG), ligation (LIG) and amplification (PCR). Despite ONT’s recommendations, making an informed decision for preparation choice remains difficu...

Descripción completa

Detalles Bibliográficos
Autores principales: Sauvage, Thomas, Cormier, Alexandre, Delphine, Passerini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589936/
https://www.ncbi.nlm.nih.gov/pubmed/37864145
http://dx.doi.org/10.1186/s12864-023-09729-z
_version_ 1785123890840731648
author Sauvage, Thomas
Cormier, Alexandre
Delphine, Passerini
author_facet Sauvage, Thomas
Cormier, Alexandre
Delphine, Passerini
author_sort Sauvage, Thomas
collection PubMed
description BACKGROUND: Oxford nanopore Technologies (ONT) provides three main library preparation strategies to sequence bacterial genomes. These include tagmentation (TAG), ligation (LIG) and amplification (PCR). Despite ONT’s recommendations, making an informed decision for preparation choice remains difficult without a side-by-side comparison. Here, we sequenced 12 bacterial strains to examine the overall output of these strategies, including sequencing noise, barcoding efficiency and assembly quality based on mapping to curated genomes established herein. RESULTS: Average read length ranged closely for TAG and LIG (> 5,000 bp), while being drastically smaller for PCR (< 1,100 bp). LIG produced the largest output with 33.62 Gbp vs. 11.72 Gbp for TAG and 4.79 Gbp for PCR. PCR produced the most sequencing noise with only 22.7% of reads mappable to the curated genomes, vs. 92.9% for LIG and 87.3% for TAG. Output per channel was most homogenous in LIG and most variable in PCR, while intermediate in TAG. Artifactual tandem content was most abundant in PCR (22.5%) and least in LIG and TAG (0.9% and 2.2%). Basecalling and demultiplexing of barcoded libraries resulted in ~ 20% data loss as unclassified reads and 1.5% read leakage. CONCLUSION: The output of LIG was best (low noise, high read numbers of long lengths), intermediate in TAG (some noise, moderate read numbers of long lengths) and less desirable in PCR (high noise, high read numbers of short lengths). Overall, users should not accept assembly results at face value without careful replicon verification, including the detection of plasmids assembled from leaked reads. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09729-z.
format Online
Article
Text
id pubmed-10589936
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-105899362023-10-22 A comparison of Oxford nanopore library strategies for bacterial genomics Sauvage, Thomas Cormier, Alexandre Delphine, Passerini BMC Genomics Research BACKGROUND: Oxford nanopore Technologies (ONT) provides three main library preparation strategies to sequence bacterial genomes. These include tagmentation (TAG), ligation (LIG) and amplification (PCR). Despite ONT’s recommendations, making an informed decision for preparation choice remains difficult without a side-by-side comparison. Here, we sequenced 12 bacterial strains to examine the overall output of these strategies, including sequencing noise, barcoding efficiency and assembly quality based on mapping to curated genomes established herein. RESULTS: Average read length ranged closely for TAG and LIG (> 5,000 bp), while being drastically smaller for PCR (< 1,100 bp). LIG produced the largest output with 33.62 Gbp vs. 11.72 Gbp for TAG and 4.79 Gbp for PCR. PCR produced the most sequencing noise with only 22.7% of reads mappable to the curated genomes, vs. 92.9% for LIG and 87.3% for TAG. Output per channel was most homogenous in LIG and most variable in PCR, while intermediate in TAG. Artifactual tandem content was most abundant in PCR (22.5%) and least in LIG and TAG (0.9% and 2.2%). Basecalling and demultiplexing of barcoded libraries resulted in ~ 20% data loss as unclassified reads and 1.5% read leakage. CONCLUSION: The output of LIG was best (low noise, high read numbers of long lengths), intermediate in TAG (some noise, moderate read numbers of long lengths) and less desirable in PCR (high noise, high read numbers of short lengths). Overall, users should not accept assembly results at face value without careful replicon verification, including the detection of plasmids assembled from leaked reads. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09729-z. BioMed Central 2023-10-20 /pmc/articles/PMC10589936/ /pubmed/37864145 http://dx.doi.org/10.1186/s12864-023-09729-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sauvage, Thomas
Cormier, Alexandre
Delphine, Passerini
A comparison of Oxford nanopore library strategies for bacterial genomics
title A comparison of Oxford nanopore library strategies for bacterial genomics
title_full A comparison of Oxford nanopore library strategies for bacterial genomics
title_fullStr A comparison of Oxford nanopore library strategies for bacterial genomics
title_full_unstemmed A comparison of Oxford nanopore library strategies for bacterial genomics
title_short A comparison of Oxford nanopore library strategies for bacterial genomics
title_sort comparison of oxford nanopore library strategies for bacterial genomics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589936/
https://www.ncbi.nlm.nih.gov/pubmed/37864145
http://dx.doi.org/10.1186/s12864-023-09729-z
work_keys_str_mv AT sauvagethomas acomparisonofoxfordnanoporelibrarystrategiesforbacterialgenomics
AT cormieralexandre acomparisonofoxfordnanoporelibrarystrategiesforbacterialgenomics
AT delphinepasserini acomparisonofoxfordnanoporelibrarystrategiesforbacterialgenomics
AT sauvagethomas comparisonofoxfordnanoporelibrarystrategiesforbacterialgenomics
AT cormieralexandre comparisonofoxfordnanoporelibrarystrategiesforbacterialgenomics
AT delphinepasserini comparisonofoxfordnanoporelibrarystrategiesforbacterialgenomics