简化全基因组测序,以使用ONT技术进行临床诊断
Han-Chieh Wu1, Yueh-Tzu Chiu1, I-Ching Wu2
1National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County, 350401, Taiwan.
Scientific reports
|February 20, 2025
概括
快速ONT为病原体分析提供了具有成本效益的全基因组测序 (WGS) 工作流,简化了复杂的生物信息任务. 这种方法通过使WGS更容易获得临床应用来增强病原体监测和诊断.
科学领域:
- 微生物学 微生物学
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 全基因组测序 (WGS) 为病原体监测,疫情应对和诊断提供了重大潜力.
- 临床采用WGS受到高成本,技术复杂性和生物信息学专业知识要求的限制.
研究的目的:
- 为基于WGS的病原体分析开发一个具有成本效益和可访问性的工作流程.
- 简化WGS数据分析以用于常规临床使用,尽量减少生物信息学需求.
主要方法:
- 机械剪切DNA提取和复合牛津纳米孔技术 (ONT) 快速条形码.
- 使用Flye进行自动化de novo组装,然后使用Medaka和Homopolish进行抛光.
- 通过Pathogenwatch网络平台进行分析,用于物种识别,分子类型和抗菌素耐药性 (AMR) 预测.
主要成果:
- 在RapidONT工作流中,在90种细菌菌株的多部位序列类型化 (MLST) 和AMR识别方面,工作流显示出高精度.
- 通过使用单个ONT流细胞,成功生成了48个单元的基因组信息,大大降低了成本.
- 与沙门氏菌 spp. 有关的确定的局限性. 和尼塞利亚淋病,表明未来精炼的领域.
结论:
- 快速ONT为基于WGS的病原体分析提供了一种简化,成本高效的解决方案.
- 工作流程促进了WGS在临床诊断和公共卫生监测中的更广泛实施.
- 这种方法减少了对广泛实验的需求,加速了获取关键基因组数据的速度.
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