牛津纳米孔长读测序使得完全的细菌和等离子体基因组的生成,而不需要短读测序
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Updated: Jul 28, 2025

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Ultra-long Read Sequencing for Whole Genomic DNA Analysis
Published on: March 15, 2019
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Wenxuan Zhao1,2, Wei Zeng1,3, Bo Pang1
1National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Frontiers in microbiology
|May 31, 2023
概括
一种新的牛津纳米孔技术 (ONT) 测序方法使得高精度的细菌和等离子体基因组组装只使用长读数. 这种方法消除了对短读测序的需求,节省了对抗生素耐药性监测的时间和成本.
科学领域:
- 基因组学就是基因组学.
- 微生物学 微生物学
- 生物信息学是一种生物信息学.
背景情况:
- 基因组分析对于追踪抗生素耐药细菌 (ARB) 和抗生素耐药基因 (ARG) 是必不可少的.
- 传统方法经常结合短读和长读序列,增加成本和时间.
- 长读数测序虽然对等离子体有好处,但从历史上看,它的基调调用精度较低.
研究的目的:
- 引入一种新的牛津纳米孔技术 (ONT) 测序方法,用于高精度的新基因组组装.
- 为了证明能够组装完整的细菌和多药耐药性 (MDR) 等离子体基因组,仅使用长时间读取的数据.
- 为了减少与ARB/ARG监测的基因组测序相关的成本和周转时间.
主要方法:
- 使用最新的ONT化学 (SQK-LSK114套件,R10.4.1流细胞) 用MDR等离子体对三种沙门氏菌菌株进行测序.
- 使用Fly和Medaka软件只使用长读数据进行了de novo基因组组装.
- 实现了98.9% (Q>10) 的平均读取精度.
主要成果:
- 成功组装完成的细菌和等离子体基因组,精度超过99.99%在75×覆盖范围.
- 证明高质量的基因组组装仅用ONT长读数据可以实现,消除了短读测序的需求.
- 这种新的方法显著提高了基调调用的准确性,并减少了测序成本和时间.
结论:
- 新的ONT测序方法为传统的混合测序方法提供了成本高效和时间高效的替代方案.
- 能够进行高质量的泛基因组分析,以有效监测ARB和ARG传播.
- 促进基于基因组的公共卫生流行病学分析.
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