Evaluation of the accuracy of bacterial genome reconstruction with Oxford Nanopore R10.4.1 long-read-only sequencing.

IF 4 2区 生物学 Q1 GENETICS & HEREDITY
Nicholas D Sanderson, Katie M V Hopkins, Matthew Colpus, Melody Parker, Samuel Lipworth, Derrick Crook, Nicole Stoesser
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引用次数: 0

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 Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa and Staphylococcus aureus, and nine genetically diverse E. coli bloodstream infection-associated isolates from different phylogroups and sequence types, both with and without BSA. These sequences were de novo assembled and compared against Illumina-corrected reference genomes. In this small evaluation of 13 isolates we found that nanopore long-read-only R10.4.1/kit 14 assemblies with updated basecallers trained using bacterial methylated DNA produce accurate assemblies with ≥40×depth, sufficient to be cost-effective compared with hybrid ONT/Illumina sequencing in our setting.

评估利用牛津纳米孔 R10.4.1 长读纯测序技术重建细菌基因组的准确性。
细菌病原体的全基因组重构已成为追踪传播和抗菌药耐药性基因扩散的重要工具,但高精度和完整的组装在很大程度上只能通过长短线程混合测序来实现。我们之前发现,牛津纳米孔技术公司(ONT)的R10.4/kit12流式细胞/化学方法比R9.4.1/kit10组合能产生更好的组装结果,但与Illumina-ONT混合组装结果相比,仅长读程组装结果包含更多错误。ONT随后发布了R10.4.1/kit14流式细胞仪/化学试剂升级版,并建议在文库制备过程中使用牛血清白蛋白(BSA),据称这两种方法都能提高准确度和产量。他们还发布了使用含有甲基化位点的原生细菌 DNA 训练的最新基线呼应器,旨在修复系统性基线呼应错误,包括常见的腺苷(A)到鸟嘌呤(G)和胞嘧啶(C)到胸腺嘧啶(T)的置换。为了评估这些改进,我们成功测序了四种细菌参考菌株,即大肠埃希菌、肺炎克雷伯菌、铜绿假单胞菌和金黄色葡萄球菌,以及来自不同系统群和序列类型的九种不同基因的大肠埃希菌血流感染相关分离物,包括有 BSA 和无 BSA 的分离物。这些序列都是全新组装的,并与 Illumina 校正的参考基因组进行了比较。在对 13 个分离株进行的这项小规模评估中,我们发现纳米孔长读取 R10.4.1/kit 14 组合与使用细菌甲基化 DNA 训练的更新基底唤醒器能产生深度≥40×的精确组合,在我们的环境中,与 ONT/Illumina 混合测序相比,足以达到成本效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Microbial Genomics
Microbial Genomics Medicine-Epidemiology
CiteScore
6.60
自引率
2.60%
发文量
153
审稿时长
12 weeks
期刊介绍: Microbial Genomics (MGen) is a fully open access, mandatory open data and peer-reviewed journal publishing high-profile original research on archaea, bacteria, microbial eukaryotes and viruses.
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