一种改进的快速和灵敏的长安普利康方法,用于基于纳米孔的RSV全基因组测序
Xiaomin Dong1,2, Steven Edwards1, Yi-Mo Deng1,2,3
1WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
Influenza and other respiratory viruses
|April 29, 2025
概括
本研究提出了一种使用牛津纳米孔技术 (ONT) 快速,具有成本效益的全基因组测序 (WGS) 方法,用于呼吸道同胞病毒 (RSV). 优化的协议使临床RSV样本的高效WGS成为可能,有助于跟踪传播和突变.
科学领域:
- 病毒学 病毒学
- 基因组学就是基因组学.
- 分子生物学分子生物学
背景情况:
- 全基因组测序 (WGS) 对于理解呼吸道同胞病毒 (RSV) 传播和影响疫苗和治疗药物的突变至关重要.
- 目前的大规模RSV WGS方法往往是昂贵和耗时的.
- 牛津纳米孔技术 (ONT) 提供了更快,更实惠的下一代测序 (NGS) 的潜力.
研究的目的:
- 为ONT平台开发和优化一个RSV WGS协议.
- 与现有方法相比,评估该新协议的效率和有效性.
主要方法:
- 为ONT开发了一种经过修改的RSV长安普利康式WGS协议,该协议包含一步复合RT-PCR和快速条形码套件.
- 从2023年开始,分析了135个澳大利亚RSV临床标本 (RSV-A和RSV-B).
- 将ONT工作流与基于AMPLICON的短时间WGS测试进行了比较.
主要成果:
- 一个PCR安普利康清理步骤改善了安普利康产量低的样品的WGS,但对于高产量样品是不必要的.
- 总体WGS成功率达到了85.9%.
- 通过ONT方法,可以将基因组覆盖范围和测序深度与更复杂的短安普利康方法进行比较.
结论:
- 开发的ONT工作流非常成功地从临床样本生成RSV WGS.
- 这种方法显著提高了RSV WGS的周转时间和成本效益.
- 该协议在RSV临床样本中产生了优异的结果,周期值高达30.
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