Article ; Online: Evaluation of the accuracy of bacterial genome reconstruction with Oxford Nanopore R10.4.1 long-read-only sequencing.
2024 Volume 10, Issue 5
Abstract: Whole-genome reconstruction of bacterial pathogens has become an important tool for tracking transmission and antimicrobial resistance gene spread, but highly accurate and complete assemblies have largely only historically been achievable using hybrid ... ...
Abstract | Whole-genome reconstruction of bacterial pathogens has become an important tool for tracking transmission and antimicrobial resistance gene spread, but highly accurate and complete assemblies have largely only historically been achievable using hybrid long- and short-read sequencing. We previously found the Oxford Nanopore Technologies (ONT) R10.4/kit12 flowcell/chemistry produced improved assemblies over the R9.4.1/kit10 combination, however long-read only assemblies contained more errors compared to Illumina-ONT hybrid assemblies. ONT have since released an R10.4.1/kit14 flowcell/chemistry upgrade and recommended the use of Bovine Serum Albumin (BSA) during library preparation, both of which reportedly increase accuracy and yield. They have also released updated basecallers trained using native bacterial DNA containing methylation sites intended to fix systematic basecalling errors, including common adenosine (A) to guanine (G) and cytosine (C) to thymine (T) substitutions. To evaluate these improvements, we successfully sequenced four bacterial reference strains, namely |
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MeSH term(s) | Genome, Bacterial ; Nanopores ; High-Throughput Nucleotide Sequencing/methods ; Escherichia coli/genetics ; Staphylococcus aureus/genetics ; Sequence Analysis, DNA/methods ; Pseudomonas aeruginosa/genetics ; Nanopore Sequencing/methods ; DNA, Bacterial/genetics ; Klebsiella pneumoniae/genetics ; Whole Genome Sequencing/methods ; Bacteria/genetics ; Bacteria/classification ; Humans |
Chemical Substances | DNA, Bacterial |
Language | English |
Publishing date | 2024-05-07 |
Publishing country | England |
Document type | Journal Article ; Research Support, Non-U.S. Gov't ; Evaluation Study |
ZDB-ID | 2835258-0 |
ISSN | 2057-5858 ; 2057-5858 |
ISSN (online) | 2057-5858 |
ISSN | 2057-5858 |
DOI | 10.1099/mgen.0.001246 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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